Instructions to use BigSalmon/FormalRobertaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/FormalRobertaa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/FormalRobertaa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/FormalRobertaa") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/FormalRobertaa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BigSalmon/FormalRobertaa: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/BigSalmon/FormalRobertaa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BigSalmon/FormalRobertaa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BigSalmon/FormalRobertaa/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- d24bd8a0106511602f7ac9d4a48f4bf4e85bf83860b86df288059fda0b472825
- Size of remote file:
- 499 MB
- SHA256:
- a833deca98213a859239cff83963791facd869bd6c05ddcf72bcff3114326ea8
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