Instructions to use minoosh/finetuned_bert-base-on-IEMOCAP_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minoosh/finetuned_bert-base-on-IEMOCAP_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minoosh/finetuned_bert-base-on-IEMOCAP_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minoosh/finetuned_bert-base-on-IEMOCAP_2") model = AutoModelForSequenceClassification.from_pretrained("minoosh/finetuned_bert-base-on-IEMOCAP_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d868a41d8ebcf6ab77762901b57e990b2f60b44ef7f2269dc88b9dbbcb6e5ad
- Size of remote file:
- 438 MB
- SHA256:
- 470e3e1da53ac96e46debb7ff93f8cd015097f2049039f1af4b77ecde26e3145
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