Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
TextClassificationPipeline
text-embeddings-inference
Instructions to use ssharoff/genres with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssharoff/genres with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ssharoff/genres")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ssharoff/genres") model = AutoModelForSequenceClassification.from_pretrained("ssharoff/genres") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99fcaa17cc5828bddb6e0b776dee295ab5525bd41057f679dc7db17d00f3267c
- Size of remote file:
- 1.11 GB
- SHA256:
- 11555f8138e7166d30a44fcf95a011663fe77944284a0a0c5004c717af14d603
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