Instructions to use CatBarks/bertES_ClassWeighted100_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CatBarks/bertES_ClassWeighted100_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CatBarks/bertES_ClassWeighted100_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CatBarks/bertES_ClassWeighted100_model") model = AutoModelForSequenceClassification.from_pretrained("CatBarks/bertES_ClassWeighted100_model") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
fa68215 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fb71171f3d16073b522b3a1c516474a9236f05b7786955f63a700487316600ec
size 437958648
|