Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use zera09/distill_bert_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zera09/distill_bert_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zera09/distill_bert_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zera09/distill_bert_classification") model = AutoModelForSequenceClassification.from_pretrained("zera09/distill_bert_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zera09/distill_bert_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.67 kB
-
https://huggingface.co/zera09/distill_bert_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://zera09/distill_bert_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zera09/distill_bert_classification/resolve/main/training_args.bin
4.67 kB
- Xet hash:
- ed9ae76aede1601543d662bb7317435ab2e951117af30ae45e7a19e2717ac5b2
- Size of remote file:
- 4.67 kB
- SHA256:
- 8583f84f926db23f3577ed74f4d009f728b912dae1f0be306129c538bdcff4ff
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