Instructions to use yevhenkost/classifier__generated_data_only__observationsdetection_albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yevhenkost/classifier__generated_data_only__observationsdetection_albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yevhenkost/classifier__generated_data_only__observationsdetection_albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yevhenkost/classifier__generated_data_only__observationsdetection_albert") model = AutoModelForSequenceClassification.from_pretrained("yevhenkost/classifier__generated_data_only__observationsdetection_albert") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
1a4d259 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:08ce84702a13be7fd08c0877dd5b1a39090211422dff9d993751ccb2f90a584d
size 46753169
|