Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Zainab984/TestForColab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zainab984/TestForColab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zainab984/TestForColab")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zainab984/TestForColab") model = AutoModelForSequenceClassification.from_pretrained("Zainab984/TestForColab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zainab984/TestForColab: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/Zainab984/TestForColab/resolve/8ddfaec29c6188b0aae118be981457f53342f498/training_args.bin
- Command line
-
hf download hf://Zainab984/TestForColab@8ddfaec29c6188b0aae118be981457f53342f498/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zainab984/TestForColab/resolve/8ddfaec29c6188b0aae118be981457f53342f498/training_args.bin
4.54 kB
- Xet hash:
- c300793f39a765e5b58f0cf4dffffe7ea96302ba9f3f9d5f73498e426c26836d
- Size of remote file:
- 4.54 kB
- SHA256:
- 51b910cd4985bad0ba5200c46673da79eb4d8be999954144bc35b00465c05cee
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