Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use rairo/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rairo/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rairo/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rairo/results") model = AutoModelForSequenceClassification.from_pretrained("rairo/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rairo/results: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/rairo/results/resolve/main/training_args.bin
- Command line
-
hf download hf://rairo/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rairo/results/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 584da3bfd64c8f87c0989ea87b1e815f916e6d3a204bceacd33dd1faa1f39f9f
- Size of remote file:
- 4.66 kB
- SHA256:
- ba33c7391acf5313a16112913cd78839bca1436651a9ce157f2a6926ab20a97c
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