Text Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
climate
text-embeddings-inference
Instructions to use fzanartu/flicc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fzanartu/flicc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fzanartu/flicc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fzanartu/flicc") model = AutoModelForSequenceClassification.from_pretrained("fzanartu/flicc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00fc1c0dbd48bd3ffd46467169a659dbfa7f0b6bf9b5f5fc33a53dcedfa87a60
- Size of remote file:
- 3.55 GB
- SHA256:
- 071b0fcc8af737cd5911d09e4661fef309ecbb5e2cb890d8c3922e2504f746cd
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