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.json from aman38649/distilbert-base-uncased-finetuned-imdb: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/aman38649/distilbert-base-uncased-finetuned-imdb/resolve/629a0a1980ecfd43712e86dc67ddce025a600ec0/tokenizer.json
- Command line
-
hf download hf://aman38649/distilbert-base-uncased-finetuned-imdb@629a0a1980ecfd43712e86dc67ddce025a600ec0/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/aman38649/distilbert-base-uncased-finetuned-imdb/resolve/629a0a1980ecfd43712e86dc67ddce025a600ec0/tokenizer.json
711 kB
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