Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use xysmalobia/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xysmalobia/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xysmalobia/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xysmalobia/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("xysmalobia/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (92818f49dfe576a493b81a9dfdd86ca0697ef5fc) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f7b4d20 -
Librarian Bot: Add base_model information to model (#1)
- Librarian Bot: Add base_model information to model (ae47cd2d8fbf7b209d49321498563634e6676e63) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>caf9ff6
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update model card README.md
1b8003c -
End of training
9d990ac -
Training in progress, step 500
e190250 -
initial commit
aa8703f