Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use msehsah/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msehsah/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="msehsah/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("msehsah/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("msehsah/test-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f5a412004663e2338b05e78e5e5b56142fbffb29ea7bd30c9136934e7f55096
- Size of remote file:
- 4.66 kB
- SHA256:
- d42d1b80b460e2adedce808927393716b851d0e6ec50b9e9cf88512c6191299c
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