Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use malcolm/REA_GenderIdentification_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malcolm/REA_GenderIdentification_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="malcolm/REA_GenderIdentification_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malcolm/REA_GenderIdentification_v1") model = AutoModelForSequenceClassification.from_pretrained("malcolm/REA_GenderIdentification_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da755828c8c5546c0373a214cb691a133f1eec24befe34d87ca49db33d359c45
- Size of remote file:
- 268 MB
- SHA256:
- c453e6182983341189b27631bd9faf4f8c8880fa668239ecf85b74c802f3ac73
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