Text Classification
Transformers
TensorBoard
ONNX
Safetensors
PyTorch
English
distilbert
movie-review-sentiment
BertForSequenceClassification
Generated from Trainer
text-embeddings-inference
Instructions to use pitangent-ds/distilbert-base-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pitangent-ds/distilbert-base-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pitangent-ds/distilbert-base-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pitangent-ds/distilbert-base-imdb") model = AutoModelForSequenceClassification.from_pretrained("pitangent-ds/distilbert-base-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from pitangent-ds/distilbert-base-imdb: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/pitangent-ds/distilbert-base-imdb/resolve/main/tokenizer.json
- Command line
-
hf download hf://pitangent-ds/distilbert-base-imdb/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/pitangent-ds/distilbert-base-imdb/resolve/main/tokenizer.json
669 kB
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