Instructions to use serhii-korobchenko/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use serhii-korobchenko/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="serhii-korobchenko/distilbert-base-uncased-finetuned-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("serhii-korobchenko/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("serhii-korobchenko/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from serhii-korobchenko/distilbert-base-uncased-finetuned-imdb: direct link, hf CLI and curl.
- Browser
- Download file 363 MB
-
https://huggingface.co/serhii-korobchenko/distilbert-base-uncased-finetuned-imdb/resolve/main/tf_model.h5
- Command line
-
hf download hf://serhii-korobchenko/distilbert-base-uncased-finetuned-imdb/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/serhii-korobchenko/distilbert-base-uncased-finetuned-imdb/resolve/main/tf_model.h5
363 MB
- Xet hash:
- 85473c3fd4f19511f09af6fca7bdee9ffe9192f02c6e804f844a1398d0b12de0
- Size of remote file:
- 363 MB
- SHA256:
- f5d3ea6c913a915bf8777e5f898b3245b958bfc76c08b70db7688b9df932a407
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