Instructions to use GiladH/policy_pos_neg_2012_bert_no_dropout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GiladH/policy_pos_neg_2012_bert_no_dropout with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GiladH/policy_pos_neg_2012_bert_no_dropout")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GiladH/policy_pos_neg_2012_bert_no_dropout") model = AutoModelForTokenClassification.from_pretrained("GiladH/policy_pos_neg_2012_bert_no_dropout", device_map="auto") - Notebooks
- Google Colab
- Kaggle