Instructions to use gianma/classifierEUtopLevelLongerTrainBDWdInt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelLongerTrainBDWdInt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelLongerTrainBDWdInt")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelLongerTrainBDWdInt") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelLongerTrainBDWdInt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (367bd858e633c06f482b6d4d2fd992c98bc29be2) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5038b91
-
Upload BertForSequenceClassification
761e20e -
Upload tokenizer
fb6c59f -
Upload BertForSequenceClassification
c6ad6b0 -
Upload tokenizer
54e8c95 -
initial commit
d541add