roneneldan
commited on
Commit
•
eee03a4
1
Parent(s):
2254993
Update readme.md
Browse files
readme.md
CHANGED
@@ -1,10 +1,10 @@
|
|
1 |
-
|
2 |
|
3 |
-
|
4 |
|
5 |
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
|
6 |
|
7 |
-
model = AutoModelForCausalLM.from_pretrained('
|
8 |
|
9 |
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
|
10 |
|
@@ -13,7 +13,7 @@ prompt = "Once upon a time there was"
|
|
13 |
input_ids = tokenizer.encode(prompt, return_tensors="pt")
|
14 |
|
15 |
# Generate completion
|
16 |
-
output = model.generate(input_ids, max_length = 1000, num_beams=1
|
17 |
|
18 |
# Decode the completion
|
19 |
output_text = tokenizer.decode(output[0], skip_special_tokens=True)
|
|
|
1 |
+
Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759
|
2 |
|
3 |
+
------ EXAMPLE USAGE ---
|
4 |
|
5 |
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
|
6 |
|
7 |
+
model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-1Layer-21M')
|
8 |
|
9 |
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
|
10 |
|
|
|
13 |
input_ids = tokenizer.encode(prompt, return_tensors="pt")
|
14 |
|
15 |
# Generate completion
|
16 |
+
output = model.generate(input_ids, max_length = 1000, num_beams=1)
|
17 |
|
18 |
# Decode the completion
|
19 |
output_text = tokenizer.decode(output[0], skip_special_tokens=True)
|