Text Classification
Transformers
PyTorch
TensorFlow
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use TirkNork/sentence_classfication_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TirkNork/sentence_classfication_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TirkNork/sentence_classfication_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TirkNork/sentence_classfication_test") model = AutoModelForSequenceClassification.from_pretrained("TirkNork/sentence_classfication_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TirkNork/sentence_classfication_test: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/TirkNork/sentence_classfication_test/resolve/main/training_args.bin
- Command line
-
hf download hf://TirkNork/sentence_classfication_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TirkNork/sentence_classfication_test/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 7e42d68216dd2c2b093a9b3b7b8c78955305cf638ac110cc4a88491f6d20ea91
- Size of remote file:
- 3.96 kB
- SHA256:
- fde8d3a6cc9b2921b88dba7f0033876fede1991384f6ad3f56f3361b533d8248
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