Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use edbeeching/test-trainer-to-hub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edbeeching/test-trainer-to-hub with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edbeeching/test-trainer-to-hub")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edbeeching/test-trainer-to-hub") model = AutoModelForSequenceClassification.from_pretrained("edbeeching/test-trainer-to-hub", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
627bf35 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b3636ec1b3d983eda20b113624fc303947b3a812f0b0852cecb4e84400716b15
size 2991
|