Instructions to use reaprtripr/distillRobertaMLM-csnPython-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reaprtripr/distillRobertaMLM-csnPython-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="reaprtripr/distillRobertaMLM-csnPython-finetuned-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("reaprtripr/distillRobertaMLM-csnPython-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("reaprtripr/distillRobertaMLM-csnPython-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 333 Bytes
13df179 | 1 | {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"} |