Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use harshitaskh/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harshitaskh/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harshitaskh/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harshitaskh/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("harshitaskh/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from harshitaskh/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/harshitaskh/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://harshitaskh/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harshitaskh/test_trainer/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 32942512784b929e616a0dc989c0634dafcda0594d7bf0e9c80923e54f465e5a
- Size of remote file:
- 3.58 kB
- SHA256:
- fcba92c999d6d9657c87cffd46692266df0c6e2a3b89114c2a2b0e6756ac371a
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