Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use bwahyuh/digidawfinal_E5small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bwahyuh/digidawfinal_E5small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bwahyuh/digidawfinal_E5small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bwahyuh/digidawfinal_E5small") model = AutoModelForSequenceClassification.from_pretrained("bwahyuh/digidawfinal_E5small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a97cc3dc295f68bf6d352bea5bf9c9436fda69c158c020d8ae14ede2b819352
- Size of remote file:
- 5.11 kB
- SHA256:
- b380768edd99e0763badd65a0c041786311c5a493aff5f5c68989304412f26eb
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