Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Almancy/finetuning-emotion-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almancy/finetuning-emotion-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Almancy/finetuning-emotion-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Almancy/finetuning-emotion-model") model = AutoModelForSequenceClassification.from_pretrained("Almancy/finetuning-emotion-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b583d2e36c6055062daba5ea261b35488293d9f82842f993e4dbe43155c216a6
- Size of remote file:
- 5.11 kB
- SHA256:
- 15ddfe98c09c635f7d0cffd7b91705cc3cb433810b39f28af3c92e0e36f97e90
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