Instructions to use linyi/chirowm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use linyi/chirowm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="linyi/chirowm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("linyi/chirowm") model = AutoModelForMaskedLM.from_pretrained("linyi/chirowm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from linyi/chirowm: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/linyi/chirowm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://linyi/chirowm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/linyi/chirowm/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- 6e44df30d42824467e9c24dfd41e237517a38b994a536180be891f152b51cb22
- Size of remote file:
- 409 MB
- SHA256:
- 14d409524568e3cce6f73c25aa080dbdc6573cb26894fe6b11b10c61dd7bdbb3
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