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
Download tokenizer.json from SpiceeChat/Genre-Classifier-1-20M-BASE-BF16: direct link, hf CLI and curl.
- Browser
- Download file 2.32 MB
-
https://huggingface.co/SpiceeChat/Genre-Classifier-1-20M-BASE-BF16/resolve/main/tokenizer.json
- Command line
-
hf download hf://SpiceeChat/Genre-Classifier-1-20M-BASE-BF16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SpiceeChat/Genre-Classifier-1-20M-BASE-BF16/resolve/main/tokenizer.json
2.32 MB
File too large to display, you can check the raw version instead.