Text Classification
Transformers
PyTorch
bert
classification
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use joheras/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joheras/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joheras/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joheras/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("joheras/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8caa1f07f338b68245bc291bfc0c5dce1786966aece872137083772ba022da5d
- Size of remote file:
- 438 MB
- SHA256:
- 6ab0015dab861a1b6c9230d329fbfcea3c22d73db7fa296d7eea94480dd03b49
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