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:
- 47e4736658e1f6e5aad6eab6c90240db605e466dbd809253e10ddc16c3ed7e23
- Size of remote file:
- 4.92 GB
- SHA256:
- c671b6b17e34d4bcfadb3866a9110ff180eee0681d0290ab45001f3437738f28
路
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