Instructions to use mboth/distil-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mboth/distil-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mboth/distil-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mboth/distil-eng") model = AutoModelForMaskedLM.from_pretrained("mboth/distil-eng") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b64abb9db83e5ee92bd50bb9790010ea5c275a77c4fe6d34fb0ba07c051ca6e
- Size of remote file:
- 268 MB
- SHA256:
- 10650d2c294529ac6de258abeb7b89d504343b727370904d2338e8e740f5c143
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