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
Download added_tokens.json from fzanartu/flicc: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/fzanartu/flicc/resolve/main/added_tokens.json
- Command line
-
hf download hf://fzanartu/flicc/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/fzanartu/flicc/resolve/main/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 128000 | |
| } | |