Text Classification
Transformers
Safetensors
English
firstname_gender
feature-extraction
gender-classification
first-name
tiny-models
spiceechat
causal-lm
custom_code
Instructions to use SpiceeChat/FirstName-Genre-Classifier-30M-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpiceeChat/FirstName-Genre-Classifier-30M-SFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SpiceeChat/FirstName-Genre-Classifier-30M-SFT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpiceeChat/FirstName-Genre-Classifier-30M-SFT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f8fd7f8298556d5404ab09ccf90f49bb07d1061a95f7ae428c1e99d622c7e81
- Size of remote file:
- 5.2 kB
- SHA256:
- 05727dced653438df160bb8641a235f1f6a29b67eb049c96044874005d6eb0e8
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