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 3.9 kB
-
https://huggingface.co/SADAF-IMAMU/Type_of_relation/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://SADAF-IMAMU/Type_of_relation@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SADAF-IMAMU/Type_of_relation/resolve/refs%2Fpr%2F2/training_args.bin
3.9 kB
- Xet hash:
- e289cc9e5036925470f41477646071e4deb95defcd9c2cb531f469c8b5188da9
- Size of remote file:
- 3.9 kB
- SHA256:
- f964b46f7886c94d91a6a316518511c9fd879b6f62bf23735d4a4f98031609e8
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