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")# 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
- Xet hash:
- f888e96d7f902e34b75b155cc8a6e4261cc2e192803be18c7748ed89f4ede9be
- Size of remote file:
- 3.96 kB
- SHA256:
- cfc20f4cf1b6be883581ceacbf98951394659e259a03ebe7df54e8f7f9930949
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