Instructions to use BigSalmon/FormalRobertaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/FormalRobertaaa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BigSalmon/FormalRobertaaa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/FormalRobertaaa") model = AutoModelForMaskedLM.from_pretrained("BigSalmon/FormalRobertaaa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BigSalmon/FormalRobertaaa: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/BigSalmon/FormalRobertaaa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BigSalmon/FormalRobertaaa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BigSalmon/FormalRobertaaa/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- e519396b8d2e724f87b54a7136eb23cc323210d3ee12e3dbedd59112779cbe92
- Size of remote file:
- 499 MB
- SHA256:
- 12eaa3bd219d532e4202c0078476cd58d4ea197de9115b5e5087d50b97ee4736
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