Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Ank-77/first-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ank-77/first-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ank-77/first-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ank-77/first-model") model = AutoModelForSequenceClassification.from_pretrained("Ank-77/first-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ank-77/first-model: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/Ank-77/first-model/resolve/main/training_args.bin
- Command line
-
hf download hf://Ank-77/first-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ank-77/first-model/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 455fe1bda1bb6f229cc7e39716975704e42daebeb00362be9f617a9c53120774
- Size of remote file:
- 5.2 kB
- SHA256:
- 2984da3d555139c92ec5790bf02462417649dabd5086e2c69803dd625d44baf1
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