Instructions to use Jinchen/roberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jinchen/roberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Jinchen/roberta-base-finetuned-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Jinchen/roberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("Jinchen/roberta-base-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jinchen/roberta-base-finetuned-wikitext2: direct link, hf CLI and curl.
- Browser
- Download file 249 MB
-
https://huggingface.co/Jinchen/roberta-base-finetuned-wikitext2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jinchen/roberta-base-finetuned-wikitext2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jinchen/roberta-base-finetuned-wikitext2/resolve/main/pytorch_model.bin
249 MB
- Xet hash:
- b0ce3615f90ada188c69e26de2243f41f892dcd5277d860d566b4e6a89c7d4d9
- Size of remote file:
- 249 MB
- SHA256:
- 1c92f2e4e6ddf991d29233cf26b803d029d7f1c0e97154d5b4bb6a46680a070f
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