Instructions to use denizspynk/req_mod_ner_modelv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use denizspynk/req_mod_ner_modelv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="denizspynk/req_mod_ner_modelv2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("denizspynk/req_mod_ner_modelv2") model = AutoModelForTokenClassification.from_pretrained("denizspynk/req_mod_ner_modelv2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot