Instructions to use sharmax-vikas/IMDB_Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharmax-vikas/IMDB_Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sharmax-vikas/IMDB_Sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sharmax-vikas/IMDB_Sentiment") model = AutoModelForSequenceClassification.from_pretrained("sharmax-vikas/IMDB_Sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from sharmax-vikas/IMDB_Sentiment: direct link, hf CLI and curl.
- Browser
- Download file 125 Bytes
-
https://huggingface.co/sharmax-vikas/IMDB_Sentiment/resolve/cf45356b349d8d8352eb08699769d453ba0d6c51/special_tokens_map.json
- Command line
-
hf download hf://sharmax-vikas/IMDB_Sentiment@cf45356b349d8d8352eb08699769d453ba0d6c51/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/sharmax-vikas/IMDB_Sentiment/resolve/cf45356b349d8d8352eb08699769d453ba0d6c51/special_tokens_map.json
125 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |