Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use marianna13/link-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marianna13/link-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marianna13/link-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marianna13/link-classification") model = AutoModelForSequenceClassification.from_pretrained("marianna13/link-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from marianna13/link-classification: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/marianna13/link-classification/resolve/7d7be052d152a5b010e60dfae2e715ceff2fa8b0/pytorch_model.bin
- Command line
-
hf download hf://marianna13/link-classification@7d7be052d152a5b010e60dfae2e715ceff2fa8b0/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/marianna13/link-classification/resolve/7d7be052d152a5b010e60dfae2e715ceff2fa8b0/pytorch_model.bin
268 MB
- Xet hash:
- f912cde56b87426ad60e87d107e72fbad7799fbd638da9394e32f67b85f0b9ec
- Size of remote file:
- 268 MB
- SHA256:
- 8920d9931613af277a570e689e28c4169a4dc8e5854038a4ac7f82601d224f7d
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