Instructions to use benny6/roberta_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benny6/roberta_QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="benny6/roberta_QA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("benny6/roberta_QA") model = AutoModelForMaskedLM.from_pretrained("benny6/roberta_QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download language_model.bin from benny6/roberta_QA: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/benny6/roberta_QA/resolve/main/language_model.bin
- Command line
-
hf download hf://benny6/roberta_QA/language_model.bin
-
curl -L -o language_model.bin https://huggingface.co/benny6/roberta_QA/resolve/main/language_model.bin
334 MB
- Xet hash:
- f1de3dc394b21caa37a0a46f10d9c642db3d0b828d007a41d2ecede6decaf78d
- Size of remote file:
- 334 MB
- SHA256:
- 751f5abe09058c8bc7a51f8e890a103b085345ee6b5d0fdf592ce6c684a456a3
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