Text Classification
Transformers
PyTorch
TensorBoard
hybridbert
Generated from Trainer
Eval Results (legacy)
Instructions to use gokuls/add-bert-Massive-intent_48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gokuls/add-bert-Massive-intent_48 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gokuls/add-bert-Massive-intent_48")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gokuls/add-bert-Massive-intent_48", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 412110194d7c92700d9861ed983094de7ceec9ba07a8aeba98bd286490d0eb7c
- Size of remote file:
- 3.96 kB
- SHA256:
- 3a43ff31182889236f55bfcfefa80211f90fb316f18ed4ab1480878033d748b9
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