Instructions to use aman38649/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aman38649/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aman38649/distilbert-base-uncased-finetuned-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aman38649/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("aman38649/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from aman38649/distilbert-base-uncased-finetuned-imdb: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
-
https://huggingface.co/aman38649/distilbert-base-uncased-finetuned-imdb/resolve/629a0a1980ecfd43712e86dc67ddce025a600ec0/tokenizer_config.json
- Command line
-
hf download hf://aman38649/distilbert-base-uncased-finetuned-imdb@629a0a1980ecfd43712e86dc67ddce025a600ec0/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/aman38649/distilbert-base-uncased-finetuned-imdb/resolve/629a0a1980ecfd43712e86dc67ddce025a600ec0/tokenizer_config.json
320 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_lower_case": true, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "DistilBertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |