Instructions to use FacebookAI/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-base") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/roberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from FacebookAI/roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/FacebookAI/roberta-base/resolve/refs%2Fpr%2F13/flax_model.msgpack
- Command line
-
hf download hf://FacebookAI/roberta-base@refs/pr/13/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/FacebookAI/roberta-base/resolve/refs%2Fpr%2F13/flax_model.msgpack
499 MB
- Xet hash:
- d84ae86fbe04ad8d82c113192ec05cf17201cf9a7cbd0aa09a6b1739672c491c
- Size of remote file:
- 499 MB
- SHA256:
- 7647e7df15dfddb7d5c07fcbed7a21e3881ccfea085791cf09917aa05947bba3
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