Instructions to use howey/bert-base-uncased-cloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/bert-base-uncased-cloth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howey/bert-base-uncased-cloth")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howey/bert-base-uncased-cloth") model = AutoModelForSequenceClassification.from_pretrained("howey/bert-base-uncased-cloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c6183ed6e0f7143265f3ba3b57fe1533a41f955e0d421f8ed0783374bcdbe2
- Size of remote file:
- 438 MB
- SHA256:
- 7b68b77c0167485d3787760384021224d7091c268816e7cf39e87bb70cea8cdd
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