Instructions to use edmihranyan/roberta_large_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edmihranyan/roberta_large_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edmihranyan/roberta_large_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edmihranyan/roberta_large_classifier") model = AutoModelForSequenceClassification.from_pretrained("edmihranyan/roberta_large_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 350 Bytes
f2706f0 | 1 | {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-large", "tokenizer_class": "RobertaTokenizer"} |