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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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<sub>Built with a lot of caffeine ☕ by SpiceeChat</sub>
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<sub>Built with a lot of caffeine ☕ by SpiceeChat</sub>
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>Built by **PhysiQuanty(Did the most work)** and **QuantaSparkLabs**.
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