Instructions to use HalogenFlo/microsoft-deberta-v3-base-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HalogenFlo/microsoft-deberta-v3-base-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HalogenFlo/microsoft-deberta-v3-base-emotion-recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HalogenFlo/microsoft-deberta-v3-base-emotion-recognition") model = AutoModelForSequenceClassification.from_pretrained("HalogenFlo/microsoft-deberta-v3-base-emotion-recognition") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
8364bbb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d87bf867be511818dbf6fe30eacfc4201a74c48b4c3c31429f130c21614c0483
size 5841
|