Token Classification
Transformers
PyTorch
TensorFlow
JAX
roberta
roberta-base
NER
named-entities
BIO
movies
Instructions to use thatdramebaazguy/roberta-base-MITmovie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thatdramebaazguy/roberta-base-MITmovie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="thatdramebaazguy/roberta-base-MITmovie")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("thatdramebaazguy/roberta-base-MITmovie") model = AutoModelForTokenClassification.from_pretrained("thatdramebaazguy/roberta-base-MITmovie") - Notebooks
- Google Colab
- Kaggle
File size: 287 Bytes
44016d3 | 1 | {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": true, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-base"} |