Instructions to use subbareddyoota/ltrc-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/ltrc-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyoota/ltrc-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/ltrc-distilbert") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/ltrc-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74d0c37d1f4d1f35cd09793e3802bf2e8b3f1361bc38240c782a2fcd2bdaf063
- Size of remote file:
- 1.28 kB
- SHA256:
- 71335656a80fa527d9cc995b2062bf90d3449a43a8990c30a17fdb9f2259fde3
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