Instructions to use daotc2/phobert-large-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daotc2/phobert-large-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, MRCQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daotc2/phobert-large-qa") model = MRCQuestionAnswering.from_pretrained("daotc2/phobert-large-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from daotc2/phobert-large-qa: direct link, hf CLI and curl.
- Browser
- Download file 1.47 GB
-
https://huggingface.co/daotc2/phobert-large-qa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://daotc2/phobert-large-qa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/daotc2/phobert-large-qa/resolve/main/pytorch_model.bin
1.47 GB
- Xet hash:
- a63660c617a67e9f1407b8bef79239b749f8e5edb1f44b615bb8bab4c715f943
- Size of remote file:
- 1.47 GB
- SHA256:
- 99e88d3413859943c8759070b3e353dc0424ae1e577f7470ac6fb1f096592ee1
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