Upload HuggingFaceTB_SmolLM3-3B_4.txt with huggingface_hub
Browse files
HuggingFaceTB_SmolLM3-3B_4.txt
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
```CODE:
|
| 2 |
+
# prepare the model input
|
| 3 |
+
prompt = "Give me a brief explanation of gravity in simple terms."
|
| 4 |
+
messages_think = [
|
| 5 |
+
{"role": "user", "content": prompt}
|
| 6 |
+
]
|
| 7 |
+
|
| 8 |
+
text = tokenizer.apply_chat_template(
|
| 9 |
+
messages_think,
|
| 10 |
+
tokenize=False,
|
| 11 |
+
add_generation_prompt=True,
|
| 12 |
+
)
|
| 13 |
+
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
|
| 14 |
+
|
| 15 |
+
# Generate the output
|
| 16 |
+
generated_ids = model.generate(**model_inputs, max_new_tokens=32768)
|
| 17 |
+
|
| 18 |
+
# Get and decode the output
|
| 19 |
+
output_ids = generated_ids[0][len(model_inputs.input_ids[0]) :]
|
| 20 |
+
print(tokenizer.decode(output_ids, skip_special_tokens=True))
|
| 21 |
+
```
|
| 22 |
+
|
| 23 |
+
ERROR:
|
| 24 |
+
Traceback (most recent call last):
|
| 25 |
+
File "/tmp/HuggingFaceTB_SmolLM3-3B_4XJRKFp.py", line 22, in <module>
|
| 26 |
+
text = tokenizer.apply_chat_template(
|
| 27 |
+
^^^^^^^^^
|
| 28 |
+
NameError: name 'tokenizer' is not defined
|