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 pytorch_model.bin from sumitbmdi/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/sumitbmdi/test_trainer/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sumitbmdi/test_trainer/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sumitbmdi/test_trainer/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- f9fd0c5c018eb3849e9354f39769dce9c49e555f5e6fd022727ad8f4ea381d7b
- Size of remote file:
- 268 MB
- SHA256:
- 16baba7bfcafada9603899dfbaa7ff427141a54f095707e68f3b012fb602c7f9
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