dhruv-anand-aintech
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Browse files- sarvam.ipynb +97 -0
sarvam.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"from rich import print as rprint"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"content = json.load(open('/Users/dhruvanand/Downloads/tokenizer.json'))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"131"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(content[\"added_tokens\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">dict_keys</span><span style=\"font-weight: bold\">([</span><span style=\"color: #008000; text-decoration-color: #008000\">'type'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'dropout'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'unk_token'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'continuing_subword_prefix'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'end_of_word_suffix'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'fuse_unk'</span>, \n",
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"<span style=\"color: #008000; text-decoration-color: #008000\">'byte_fallback'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'ignore_merges'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'vocab'</span>, <span style=\"color: #008000; text-decoration-color: #008000\">'merges'</span><span style=\"font-weight: bold\">])</span>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[1;35mdict_keys\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[32m'type'\u001b[0m, \u001b[32m'dropout'\u001b[0m, \u001b[32m'unk_token'\u001b[0m, \u001b[32m'continuing_subword_prefix'\u001b[0m, \u001b[32m'end_of_word_suffix'\u001b[0m, \u001b[32m'fuse_unk'\u001b[0m, \n",
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"\u001b[32m'byte_fallback'\u001b[0m, \u001b[32m'ignore_merges'\u001b[0m, \u001b[32m'vocab'\u001b[0m, \u001b[32m'merges'\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"rprint(content[\"model\"].keys())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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