[WIP] Upload folder using huggingface_hub (multi-commit 11ebf3f26b533cc5c2874079bd928919f2ba27bbf1af47f2d7c839e6ae00f89f)

README.md

@@ -1,44 +0,0 @@
----
-library_name: transformers
-license: other
-license_name: gemma-terms-of-use
-license_link: https://ai.google.dev/gemma/terms
-tags:
-- mlx
-- mlx
-widget:
-- text: '<start_of_turn>user
-
-    How does the brain work?<end_of_turn>
-
-    <start_of_turn>model
-
-    '
-inference:
-  parameters:
-    max_new_tokens: 200
-extra_gated_heading: Access Gemma on Hugging Face
-extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
-  agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging
-  Face and click below. Requests are processed immediately.
-extra_gated_button_content: Acknowledge license
----
-
-# david4096/gemma-2b-finetune-graph-genome
-
-The Model [david4096/gemma-2b-finetune-graph-genome](https://huggingface.co/david4096/gemma-2b-finetune-graph-genome) was converted to MLX format from [mlx-community/quantized-gemma-2b-it](https://huggingface.co/mlx-community/quantized-gemma-2b-it) using mlx-lm version **0.16.0**.
-
-It was trained on text from about 670 papers with the phrase "graph genome" in them from biorxiv.
-
-## Use with mlx
-
-```bash
-pip install mlx-lm
-```
-
-```python
-from mlx_lm import load, generate
-
-model, tokenizer = load("david4096/gemma-2b-finetune-graph-genome-lg")
-response = generate(model, tokenizer, prompt="hello", verbose=True)
-```