Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use yemen2016/nbbert_NCST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yemen2016/nbbert_NCST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yemen2016/nbbert_NCST")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yemen2016/nbbert_NCST") model = AutoModelForSequenceClassification.from_pretrained("yemen2016/nbbert_NCST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yemen2016/nbbert_NCST: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/yemen2016/nbbert_NCST/resolve/main/training_args.bin
- Command line
-
hf download hf://yemen2016/nbbert_NCST/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yemen2016/nbbert_NCST/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 384235f6e4b2e50a64a2151b8832911cd557d7908cbc52d4198ff8a372533826
- Size of remote file:
- 5.24 kB
- SHA256:
- b9f426478c09da930f4550298ef8adaf2b6c4b31712772cf468f5385aa076311
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