Instructions to use Masallah/distilbert-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Masallah/distilbert-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Masallah/distilbert-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Masallah/distilbert-emotion") model = AutoModelForSequenceClassification.from_pretrained("Masallah/distilbert-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69654f17fd8f2304d6c17d87a325ddd21cc87e4d1c18f3db3e6ed2a6f7d5352d
- Size of remote file:
- 4.66 kB
- SHA256:
- 9933ff4842515a77beaa8999421e756c8f9155acf3e7073d84d09a3da9aa5a13
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