Text Classification
Transformers
Safetensors
English
deberta-v2
debarta
debarta-v3-small
emotions-classifier
text-embeddings-inference
Instructions to use AnkitAI/deberta-v3-small-base-emotions-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnkitAI/deberta-v3-small-base-emotions-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnkitAI/deberta-v3-small-base-emotions-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnkitAI/deberta-v3-small-base-emotions-classifier") model = AutoModelForSequenceClassification.from_pretrained("AnkitAI/deberta-v3-small-base-emotions-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from AnkitAI/deberta-v3-small-base-emotions-classifier: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/AnkitAI/deberta-v3-small-base-emotions-classifier/resolve/71bc5f24d6e5248870d662779e1ed7e7805dae6e/added_tokens.json
- Command line
-
hf download hf://AnkitAI/deberta-v3-small-base-emotions-classifier@71bc5f24d6e5248870d662779e1ed7e7805dae6e/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/AnkitAI/deberta-v3-small-base-emotions-classifier/resolve/71bc5f24d6e5248870d662779e1ed7e7805dae6e/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 128000 | |
| } | |