Instructions to use dexay/f_ner_rober with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dexay/f_ner_rober with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dexay/f_ner_rober")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dexay/f_ner_rober") model = AutoModelForTokenClassification.from_pretrained("dexay/f_ner_rober", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
046eacb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:63c6caa031d904507cc3daa25b91d45cc3f74c96e2761bee7127886c1d9d9b8b
size 496321969
|