Text Classification
Transformers
PyTorch
Enawené-Nawé
camembert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Garfieldgx/Severe-js100-Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Garfieldgx/Severe-js100-Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Garfieldgx/Severe-js100-Sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Garfieldgx/Severe-js100-Sentiment") model = AutoModelForSequenceClassification.from_pretrained("Garfieldgx/Severe-js100-Sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot