Instructions to use Sadiksha/dk_emotion_bert_in_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sadiksha/dk_emotion_bert_in_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sadiksha/dk_emotion_bert_in_class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sadiksha/dk_emotion_bert_in_class") model = AutoModelForSequenceClassification.from_pretrained("Sadiksha/dk_emotion_bert_in_class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot