Instructions to use dccuchile/roberta-large-bne-finetuned-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/roberta-large-bne-finetuned-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dccuchile/roberta-large-bne-finetuned-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dccuchile/roberta-large-bne-finetuned-pos") model = AutoModelForTokenClassification.from_pretrained("dccuchile/roberta-large-bne-finetuned-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
fb03d9c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5a2ec57283b8a6c6a45f412f9fb0f2f79ac7e8a38c01249b1f09454831ac3ebd
size 2991
|