Instructions to use naina79000tyagi/bert-base-uncased-go-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naina79000tyagi/bert-base-uncased-go-emotion with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultilabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("naina79000tyagi/bert-base-uncased-go-emotion") model = BertForMultilabelSequenceClassification.from_pretrained("naina79000tyagi/bert-base-uncased-go-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7566dfdb8826af317f6a4b4bd66c88411fce320fbe59c6d97fffc8bba215276d
- Size of remote file:
- 438 MB
- SHA256:
- 7a380706b7a1236a5c15fe2824606ffc410d804a6ca338d943542cf8051585a0
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