Instructions to use jfforero/a_different_name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jfforero/a_different_name with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jfforero/a_different_name")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jfforero/a_different_name") model = AutoModelForSequenceClassification.from_pretrained("jfforero/a_different_name") - Notebooks
- Google Colab
- Kaggle
Upload TFBertForSequenceClassification
Browse files- tf_model.h5 +1 -1
tf_model.h5
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