Instructions to use IvanPerkhun/called_a_patient_by_his_name_bert_First256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IvanPerkhun/called_a_patient_by_his_name_bert_First256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IvanPerkhun/called_a_patient_by_his_name_bert_First256")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IvanPerkhun/called_a_patient_by_his_name_bert_First256") model = AutoModelForSequenceClassification.from_pretrained("IvanPerkhun/called_a_patient_by_his_name_bert_First256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!