Instructions to use Almancy/finetuning-emotion-model-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almancy/finetuning-emotion-model-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Almancy/finetuning-emotion-model-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Almancy/finetuning-emotion-model-5") model = AutoModelForSequenceClassification.from_pretrained("Almancy/finetuning-emotion-model-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7355d5f8bf12c30c894ef19a2ef9d6b3404d62adfc106a049fcb530d862f2c26
- Size of remote file:
- 5.11 kB
- SHA256:
- aefcbe2022e46047fb41caf2dcc4359b8d376f89237690b5d1baba1fe65e4a38
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