Instructions to use catofnull/my-awesome-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use catofnull/my-awesome-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="catofnull/my-awesome-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("catofnull/my-awesome-model") model = AutoModelForMaskedLM.from_pretrained("catofnull/my-awesome-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8844cce9c34a1a047685509c09aaffee8065f4ff13dc3f3fab76bf66a4aca7ec
- Size of remote file:
- 438 MB
- SHA256:
- 7ce5e1ddabe2978efd1f8bf26775bf733d8f4b43f51904dcd5c49b4fe35f324c
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