Instructions to use CatBarks/GPT2ES_ClassWeighted1_2bce_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CatBarks/GPT2ES_ClassWeighted1_2bce_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CatBarks/GPT2ES_ClassWeighted1_2bce_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CatBarks/GPT2ES_ClassWeighted1_2bce_model") model = AutoModelForSequenceClassification.from_pretrained("CatBarks/GPT2ES_ClassWeighted1_2bce_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
48345c9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:18a73b76a3b245497597cd9bd7df706ec4a33bdc5d2bd60ccb53d5d070fac8d8
size 497789648
|