Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pilotj/distil-bert-tweaking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pilotj/distil-bert-tweaking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pilotj/distil-bert-tweaking")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pilotj/distil-bert-tweaking") model = AutoModelForSequenceClassification.from_pretrained("pilotj/distil-bert-tweaking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pilotj/distil-bert-tweaking: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/pilotj/distil-bert-tweaking/resolve/main/training_args.bin
- Command line
-
hf download hf://pilotj/distil-bert-tweaking/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pilotj/distil-bert-tweaking/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 47162bdb8a55aa361b6d0bf00350ffb77fa3beae2c5321db9c858bbd759ea450
- Size of remote file:
- 5.24 kB
- SHA256:
- 1d5fac56a66d1b1aa648adc29f8deb76c1a558742c90ccc8ea8112bd9750d963
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