Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use SADAF-IMAMU/Is_there_relation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SADAF-IMAMU/Is_there_relation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SADAF-IMAMU/Is_there_relation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SADAF-IMAMU/Is_there_relation") model = AutoModelForSequenceClassification.from_pretrained("SADAF-IMAMU/Is_there_relation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SADAF-IMAMU/Is_there_relation: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/SADAF-IMAMU/Is_there_relation/resolve/main/training_args.bin
- Command line
-
hf download hf://SADAF-IMAMU/Is_there_relation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SADAF-IMAMU/Is_there_relation/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- 551aa63937937b1b45137f222e07500c98a0d2acbaf64edb030a5d7cb3b8d338
- Size of remote file:
- 3.9 kB
- SHA256:
- 93e37188c9152d1df19af19ee006da27b2d97f39b86c5d7281cc4c39fdf06934
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