Text Classification
Transformers
Safetensors
English
deberta
debarta
debarta-xlarge
emotions-classifier
Instructions to use AnkitAI/deberta-xlarge-base-emotions-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnkitAI/deberta-xlarge-base-emotions-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnkitAI/deberta-xlarge-base-emotions-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnkitAI/deberta-xlarge-base-emotions-classifier") model = AutoModelForSequenceClassification.from_pretrained("AnkitAI/deberta-xlarge-base-emotions-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AnkitAI/deberta-xlarge-base-emotions-classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.04 GB
-
https://huggingface.co/AnkitAI/deberta-xlarge-base-emotions-classifier/resolve/eb2c072f84778115e1212fe20d30c40dd8c5ec9a/model.safetensors
- Command line
-
hf download hf://AnkitAI/deberta-xlarge-base-emotions-classifier@eb2c072f84778115e1212fe20d30c40dd8c5ec9a/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AnkitAI/deberta-xlarge-base-emotions-classifier/resolve/eb2c072f84778115e1212fe20d30c40dd8c5ec9a/model.safetensors
3.04 GB
- Xet hash:
- 6a888dc3a7cea2285bbe254cbcdd5c785107f0f6efaaa82ddf0f09de59d46567
- Size of remote file:
- 3.04 GB
- SHA256:
- 9c0311b3874e444a4000ea1064b85161e3937913d8ea539c812ce3aa0d92acd2
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