Text Classification
Transformers
Safetensors
English
firstname_gender
feature-extraction
gender-classification
first-name
causal-lm
spiceechat
custom_code
Instructions to use SpiceeChat/Genre-Classifier-1-20M-BASE-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpiceeChat/Genre-Classifier-1-20M-BASE-BF16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SpiceeChat/Genre-Classifier-1-20M-BASE-BF16", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpiceeChat/Genre-Classifier-1-20M-BASE-BF16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature1e67947
-
Update README.md
Verified signature5e5abb6 -
Update README.md
Verified signature8ac8a9c
-
Upload train_firstname_gender_prod3.py
Verified signature3c875ee
-
Upload 10 files
Verified signaturecc4d63b -
initial commit
Verified signature5a65e9d