Spaces:
Running
Running
- app.py +1 -5
- requirements.txt +2 -1
app.py
CHANGED
|
@@ -4,11 +4,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
|
|
| 4 |
model_id = "HuggingFaceH4/zephyr-7b-alpha" # ✅ sin restricciones
|
| 5 |
|
| 6 |
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 7 |
-
model = AutoModelForCausalLM.from_pretrained(
|
| 8 |
-
model_id,
|
| 9 |
-
device_map="auto",
|
| 10 |
-
torch_dtype="auto",
|
| 11 |
-
)
|
| 12 |
|
| 13 |
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
|
| 14 |
|
|
|
|
| 4 |
model_id = "HuggingFaceH4/zephyr-7b-alpha" # ✅ sin restricciones
|
| 5 |
|
| 6 |
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 7 |
+
model = AutoModelForCausalLM.from_pretrained(model_id)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
|
| 10 |
|
requirements.txt
CHANGED
|
@@ -1,3 +1,4 @@
|
|
| 1 |
transformers
|
| 2 |
torch
|
| 3 |
-
gradio
|
|
|
|
|
|
| 1 |
transformers
|
| 2 |
torch
|
| 3 |
+
gradio
|
| 4 |
+
accelerate
|