Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Sandrro/nspb_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandrro/nspb_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sandrro/nspb_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sandrro/nspb_classifier") model = AutoModelForSequenceClassification.from_pretrained("Sandrro/nspb_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sandrro/nspb_classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Sandrro/nspb_classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://Sandrro/nspb_classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sandrro/nspb_classifier/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- fff3e5418cf6a0232a133491f5d75f534b954f7a51254c860726a44af545255a
- Size of remote file:
- 3.58 kB
- SHA256:
- 7db7a83e0b3f56c5cca1280caa2cf9b46ed93e369f84ba644d49a85a45e8e092
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