Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Realgon/N_distilbert_imdb_padding60model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Realgon/N_distilbert_imdb_padding60model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Realgon/N_distilbert_imdb_padding60model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Realgon/N_distilbert_imdb_padding60model") model = AutoModelForSequenceClassification.from_pretrained("Realgon/N_distilbert_imdb_padding60model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Realgon/N_distilbert_imdb_padding60model: direct link, hf CLI and curl.
- Browser
- Download file 1.55 kB
-
https://huggingface.co/Realgon/N_distilbert_imdb_padding60model/resolve/main/added_tokens.json
- Command line
-
hf download hf://Realgon/N_distilbert_imdb_padding60model/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Realgon/N_distilbert_imdb_padding60model/resolve/main/added_tokens.json
1.55 kB
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