Instructions to use pediberto/autonlp-testing-504313966 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pediberto/autonlp-testing-504313966 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pediberto/autonlp-testing-504313966")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pediberto/autonlp-testing-504313966") model = AutoModelForSequenceClassification.from_pretrained("pediberto/autonlp-testing-504313966") - Notebooks
- Google Colab
- Kaggle
File size: 297 Bytes
5229617 | 1 | {"normalization": true, "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "AutoNLP", "tokenizer_class": "BertweetTokenizer"} |