Instructions to use ThirdEyeData/Question_Answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThirdEyeData/Question_Answer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ThirdEyeData/Question_Answer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ThirdEyeData/Question_Answer") model = AutoModelForQuestionAnswering.from_pretrained("ThirdEyeData/Question_Answer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from ThirdEyeData/Question_Answer: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/ThirdEyeData/Question_Answer/resolve/main/.gitignore
- Command line
-
hf download hf://ThirdEyeData/Question_Answer/.gitignore
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curl -L -o .gitignore https://huggingface.co/ThirdEyeData/Question_Answer/resolve/main/.gitignore
13 Bytes
| checkpoint-*/ |