Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Zlovoblachko/L1-classifier-CopExp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zlovoblachko/L1-classifier-CopExp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zlovoblachko/L1-classifier-CopExp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zlovoblachko/L1-classifier-CopExp") model = AutoModelForSequenceClassification.from_pretrained("Zlovoblachko/L1-classifier-CopExp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f3880cba5dcefde654acbd1e5c712be23ba0f1f9c6e8bf89c66b535881b3b9
- Size of remote file:
- 4.98 kB
- SHA256:
- 8a5e930923accab177e14f5899d46bfe6719fbc2c57d7d2ec7f9a9294ba5c5c2
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