Instructions to use Cameron/BERT-eec-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cameron/BERT-eec-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cameron/BERT-eec-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cameron/BERT-eec-emotion") model = AutoModelForSequenceClassification.from_pretrained("Cameron/BERT-eec-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3b4691c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d0c64cca0ffd2588d29574e229d94aef3ba9e4cba71949393a6e22c3c9c02a93
size 866639057
|