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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpiceeChat/Genre-Classifier-1-20M-BASE-BF16", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "pad_token_id": 0, | |
| "do_sample": false, | |
| "max_new_tokens": 1 | |
| } |