Instructions to use willco-afk/my-model-name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use willco-afk/my-model-name with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="willco-afk/my-model-name")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("willco-afk/my-model-name") model = AutoModelForSequenceClassification.from_pretrained("willco-afk/my-model-name", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload BertForSequenceClassification
Verified signature24d09e8 -
Update app.py
Verified signaturee7075f5 -
Update app.py
Verified signature0ad3b0a -
Update app.py
Verified signaturemodel name connectedad90c3e -
Update requirements.txt
Verified signature595d96f -
Create app.py
Verified signature9778ff0 -
Update requirements.txt
Verified signature9a35fb1 -
Create requirements.txt
Verified signaturee70faba -
Upload tokenizer
Verified signature76f129a -
Upload BertForSequenceClassification
Verified signatured1b39f4 -
initial commit
Verified signaturee10a18a