Instructions to use Lumos/imdb4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lumos/imdb4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lumos/imdb4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lumos/imdb4") model = AutoModelForSequenceClassification.from_pretrained("Lumos/imdb4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Lumos/imdb4: direct link, hf CLI and curl.
- Browser
- Download file 550 Bytes
-
https://huggingface.co/Lumos/imdb4/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Lumos/imdb4/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Lumos/imdb4/resolve/main/tokenizer_config.json
550 Bytes
| {"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": "/root/.cache/huggingface/transformers/59eb8c0d1acce7e270389bd3b9ae010a534e366e58b89da291bcefeb4c6723f3.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "textattack/bert-base-uncased-imdb", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"} |