Text Classification
Transformers
Safetensors
English
bert
fill-mask
emotions
embeddings
goemotions
custom_code
text-embeddings-inference
Instructions to use lunahr/emotispace-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lunahr/emotispace-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lunahr/emotispace-128", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lunahr/emotispace-128", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("lunahr/emotispace-128", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K