Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use greatakela/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greatakela/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="greatakela/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("greatakela/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("greatakela/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from greatakela/test-trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/greatakela/test-trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://greatakela/test-trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/greatakela/test-trainer/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 9ee091ff4374cf4f5d2ac320976262a9d60969c0468e19ea7570cbac7952f77b
- Size of remote file:
- 4.6 kB
- SHA256:
- aaad21e2f2f28af001a077373ceefa22312ad7896a3006ab09635ddb657c3a26
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