Instructions to use jonfd/convbert-base-igc-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonfd/convbert-base-igc-is with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jonfd/convbert-base-igc-is")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jonfd/convbert-base-igc-is") model = AutoModel.from_pretrained("jonfd/convbert-base-igc-is", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0de8a9516cba44f31510357097378eafcea470208229f7645fafdc04fc0952a
- Size of remote file:
- 428 MB
- SHA256:
- 2700525ebe1aa1d2ebe89eead42b3d441ed3b7d27609d0c60a0a5b8735e32659
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