Instructions to use manasuma/my_awesome_eli5_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manasuma/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="manasuma/my_awesome_eli5_mlm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("manasuma/my_awesome_eli5_mlm_model") model = AutoModelForMaskedLM.from_pretrained("manasuma/my_awesome_eli5_mlm_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9071342eba6f80e8c54c24b91a69cab4cbc7be551d898bf3f978d1ac2c36547f
- Size of remote file:
- 4.92 kB
- SHA256:
- b0afb1e14598bf5c3a99f2e3ff0c1a4dd3ed7f60bc13d5a22ed4a09e353b9192
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