Instructions to use jaimin/QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/QA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jaimin/QA") model = AutoModelForSeq2SeqLM.from_pretrained("jaimin/QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jaimin/QA: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/jaimin/QA/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jaimin/QA/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jaimin/QA/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 3dbbe561a0b7c3d3fa6ce8140b43ad028107f40bcb40ceae8fabd4e5f10395c6
- Size of remote file:
- 1.63 GB
- SHA256:
- 77c912db6a60dc67d85d4fd36c001b810bf4ca6cc3d01bbe090f2fe7f27a0b54
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