Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ucmp137538/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ucmp137538/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ucmp137538/tmp_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ucmp137538/tmp_trainer") model = AutoModelForSequenceClassification.from_pretrained("ucmp137538/tmp_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02ac6a6d34beef9cccdd2df903574c11a0d93a0d73184a85f270037d337b9969
- Size of remote file:
- 4.54 kB
- SHA256:
- 9028c500d2eeee77cf78ba19c4d6a55f78da6b296d147d8e84b9bd7a0d0e3415
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