Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use ippoga/deberta-v3-large_AES2_fold_1Facial_action_coding_system_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ippoga/deberta-v3-large_AES2_fold_1Facial_action_coding_system_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ippoga/deberta-v3-large_AES2_fold_1Facial_action_coding_system_v6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ippoga/deberta-v3-large_AES2_fold_1Facial_action_coding_system_v6") model = AutoModelForSequenceClassification.from_pretrained("ippoga/deberta-v3-large_AES2_fold_1Facial_action_coding_system_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K