Question Answering
Transformers
Safetensors
English
qwen2
text-generation
biology
medical
healthcare
text-generation-inference
Instructions to use HPAI-BSC/Qwen2.5-Aloe-Beta-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPAI-BSC/Qwen2.5-Aloe-Beta-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="HPAI-BSC/Qwen2.5-Aloe-Beta-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("HPAI-BSC/Qwen2.5-Aloe-Beta-7B") model = AutoModelForCausalLM.from_pretrained("HPAI-BSC/Qwen2.5-Aloe-Beta-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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@@ -161,7 +161,7 @@ prompt = pipeline.tokenizer.apply_chat_template(
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terminators = [
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pipeline.tokenizer.eos_token_id,
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-
pipeline.tokenizer.convert_tokens_to_ids("<|
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]
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outputs = pipeline(
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max_new_tokens=256,
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eos_token_id=terminators,
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do_sample=True,
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temperature=0.
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top_p=0.
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)
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print(outputs[0]["generated_text"][len(prompt):])
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```
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terminators = [
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pipeline.tokenizer.eos_token_id,
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+
pipeline.tokenizer.convert_tokens_to_ids("<|im_end|>")
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]
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outputs = pipeline(
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max_new_tokens=256,
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eos_token_id=terminators,
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do_sample=True,
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temperature=0.7,
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top_p=0.8,
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top_k=20,
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repetition_penalty=1.05
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)
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print(outputs[0]["generated_text"][len(prompt):])
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```
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