Instructions to use abshafi2021/bdbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abshafi2021/bdbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abshafi2021/bdbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abshafi2021/bdbert") model = AutoModelForSequenceClassification.from_pretrained("abshafi2021/bdbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2480b3859aff8088af697822c22d7a9d32e579fda52203d60064d7368e2ee543
- Size of remote file:
- 5.2 kB
- SHA256:
- 076e88f53d20e085f0d120f3c46f153eaee7b2453056bb875e3ec1b996f5484e
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