Instructions to use kumarme072/my_awesome_eli5_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumarme072/my_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kumarme072/my_awesome_eli5_mlm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kumarme072/my_awesome_eli5_mlm_model") model = AutoModelForMaskedLM.from_pretrained("kumarme072/my_awesome_eli5_mlm_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b46dfb25f008d7b050d50828ba55468534972978dab1898dc9444c615a761f4
- Size of remote file:
- 4.86 kB
- SHA256:
- c48f0ebdd6b3f82187861805b6f8ba73b999e21198591005caba93c513ec5b7b
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