Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use lcaragiov/modernbert-clinc-assignment4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lcaragiov/modernbert-clinc-assignment4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lcaragiov/modernbert-clinc-assignment4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lcaragiov/modernbert-clinc-assignment4") model = AutoModelForSequenceClassification.from_pretrained("lcaragiov/modernbert-clinc-assignment4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed1309190661517a0a4aea28d5ddc6fb0620803b7815f9cfcdec418fb6feb13b
- Size of remote file:
- 5.84 kB
- SHA256:
- a8ccd647dd24a50cb28e7770fd74a02a64f72117e8cd3bd85bf8deeba4cd0313
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