Instructions to use gus1999/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gus1999/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gus1999/model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gus1999/model") model = AutoModelForMaskedLM.from_pretrained("gus1999/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gus1999/model: direct link, hf CLI and curl.
- Browser
- Download file 273 MB
-
https://huggingface.co/gus1999/model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gus1999/model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gus1999/model/resolve/main/pytorch_model.bin
273 MB
- Xet hash:
- ad6c8bd7080dc05777e592e65186b25bdc0ef1e4bc0b2b8e4357ef5fbb267a95
- Size of remote file:
- 273 MB
- SHA256:
- a8356125d04e495df96c7c9620644f258be13d0592147b748b69294a5bbed90e
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