Question Answering
Transformers
PyTorch
Safetensors
English
llama
text-generation
biology
medical
text-generation-inference
Instructions to use HPAI-BSC/Llama3-Aloe-8B-Alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPAI-BSC/Llama3-Aloe-8B-Alpha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="HPAI-BSC/Llama3-Aloe-8B-Alpha")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("HPAI-BSC/Llama3-Aloe-8B-Alpha") model = AutoModelForCausalLM.from_pretrained("HPAI-BSC/Llama3-Aloe-8B-Alpha") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cbf66ccae482d2e339d1e3b788cd090aa1d99e2685dbd6f160cc35ed55f7f09
- Size of remote file:
- 5 GB
- SHA256:
- 60c641f1f085316d6a1909b46b92a23fe448914f67692b14557601b7cc0a594d
路
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