Instructions to use Modfiededition/roberta-fine-tuned-tweet-sentiment-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Modfiededition/roberta-fine-tuned-tweet-sentiment-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Modfiededition/roberta-fine-tuned-tweet-sentiment-extractor")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Modfiededition/roberta-fine-tuned-tweet-sentiment-extractor") model = AutoModelForQuestionAnswering.from_pretrained("Modfiededition/roberta-fine-tuned-tweet-sentiment-extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"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>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "saved_models/roberta-base/roberta_base_tokenizer", "tokenizer_class": "RobertaTokenizer"} |