Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use SADAF-IMAMU/Type_of_relation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SADAF-IMAMU/Type_of_relation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SADAF-IMAMU/Type_of_relation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SADAF-IMAMU/Type_of_relation") model = AutoModelForSequenceClassification.from_pretrained("SADAF-IMAMU/Type_of_relation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SADAF-IMAMU/Type_of_relation: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/SADAF-IMAMU/Type_of_relation/resolve/main/training_args.bin
- Command line
-
hf download hf://SADAF-IMAMU/Type_of_relation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SADAF-IMAMU/Type_of_relation/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 294813d723338bc56b219d42b2ee3d6e37b8d7954028a23da86905d7978efbe4
- Size of remote file:
- 4.73 kB
- SHA256:
- 2d1ef873ee42ac92c03988d83ba41dd5cba5b3df9cfda4b9d33d50c9382c8926
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