Instructions to use ittailup/distilgender-es-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ittailup/distilgender-es-2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ittailup/distilgender-es-2M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ittailup/distilgender-es-2M") model = AutoModelForSequenceClassification.from_pretrained("ittailup/distilgender-es-2M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (cfd98a2af7e4b84c385a397bd826a2ff391f55ef) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5eaa175 -
Update README.md
9300397 -
Update README.md
525d5a2 -
Create README.md
81d7326 -
Upload tokenizer
0d025b7 -
Upload DistilBertForSequenceClassification
8e645ff -
initial commit
8617b89