Instructions to use addy88/perceiver_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/perceiver_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addy88/perceiver_imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addy88/perceiver_imdb") model = AutoModelForSequenceClassification.from_pretrained("addy88/perceiver_imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"pad_token": {"content": "[PAD]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "[BOS]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "[EOS]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "[CLS]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sep_token": {"content": "[SEP]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 2048, "special_tokens_map_file": "/root/.cache/huggingface/transformers/1e672f45699664b4878133bd3625998f38651ea1b4f36cb5722aff0fe0404bd8.7ff539969264e209ec2a7e131831ba24df744708e52840079a10a7a1412761fb", "tokenizer_file": null, "name_or_path": "/content/mymodel", "tokenizer_class": "PerceiverTokenizer"} |