Instructions to use Manauu17/roberta_sentiments_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manauu17/roberta_sentiments_es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manauu17/roberta_sentiments_es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manauu17/roberta_sentiments_es") model = AutoModelForSequenceClassification.from_pretrained("Manauu17/roberta_sentiments_es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 340 Bytes
19864be | 1 | {"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": "models/twerto-base-uncased/special_tokens_map.json", "name_or_path": "pysentimiento/robertuito-sentiment-analysis", "tokenizer_class": "PreTrainedTokenizerFast"} |