Instructions to use jsm33/d4-primary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsm33/d4-primary with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForSequenceClassificationWithLayeredSentiment tokenizer = AutoTokenizer.from_pretrained("jsm33/d4-primary") model = RobertaForSequenceClassificationWithLayeredSentiment.from_pretrained("jsm33/d4-primary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 237 Bytes
949259b | 1 | {"normalization": true, "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 128, "name_or_path": "vinai/bertweet-base"} |