Instructions to use susghosh/roberta-large-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susghosh/roberta-large-squad with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="susghosh/roberta-large-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("susghosh/roberta-large-squad") model = AutoModelForQuestionAnswering.from_pretrained("susghosh/roberta-large-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from susghosh/roberta-large-squad: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/susghosh/roberta-large-squad/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://susghosh/roberta-large-squad/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/susghosh/roberta-large-squad/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- c4647cac26232b8e96632d922f06442299e89f63be7c60f8e20603a0d6b06c5c
- Size of remote file:
- 1.42 GB
- SHA256:
- 0e267067b1ebd60054d3f8bc04a878b58d112a4980015c2c74632a4b6dbbe3a2
路
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