Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
gender
text-embeddings-inference
Instructions to use sasi2400/GFMgenderDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sasi2400/GFMgenderDetection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sasi2400/GFMgenderDetection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sasi2400/GFMgenderDetection") model = AutoModelForSequenceClassification.from_pretrained("sasi2400/GFMgenderDetection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sasi2400/GFMgenderDetection: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/sasi2400/GFMgenderDetection/resolve/main/tokenizer.json
- Command line
-
hf download hf://sasi2400/GFMgenderDetection/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sasi2400/GFMgenderDetection/resolve/main/tokenizer.json
2.92 MB
- Xet hash:
- a6da8f780a3f0531747843f0fca92c33e0d58c23a1d2c6f2af3e19c43fde9f66
- Size of remote file:
- 2.92 MB
- SHA256:
- 7529a33b1945f06664a6266d6d5eff9b5545890202e86fb05702f6f01d4b8f44
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