Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use sumitbmdi/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumitbmdi/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sumitbmdi/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sumitbmdi/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("sumitbmdi/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sumitbmdi/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/sumitbmdi/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://sumitbmdi/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sumitbmdi/test_trainer/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 94aebbe0774cedd80af7d8d0e37d0185456d7c21a06002ef4b1440eb9f900498
- Size of remote file:
- 3.45 kB
- SHA256:
- 7d5723592899ee6808b2e60fa5ad4f7b3d9e057e6a3cc89abd740151ebb4b736
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