Instructions to use yochen/distilroberta-base-wiki-mark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yochen/distilroberta-base-wiki-mark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yochen/distilroberta-base-wiki-mark")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yochen/distilroberta-base-wiki-mark") model = AutoModelForMaskedLM.from_pretrained("yochen/distilroberta-base-wiki-mark", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yochen/distilroberta-base-wiki-mark: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/yochen/distilroberta-base-wiki-mark/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yochen/distilroberta-base-wiki-mark/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yochen/distilroberta-base-wiki-mark/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- f7c7c5463d39dcae5f7f06750cdab6d01eca951062c8fc33d42fa642c18cf1c2
- Size of remote file:
- 329 MB
- SHA256:
- f98192b88ee8560a496161400b0b5c550845ec2465dd293c5749abe9861c59d2
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