Instructions to use ykacer/bert-base-cased-imdb-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ykacer/bert-base-cased-imdb-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ykacer/bert-base-cased-imdb-sequence-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ykacer/bert-base-cased-imdb-sequence-classification") model = AutoModelForSequenceClassification.from_pretrained("ykacer/bert-base-cased-imdb-sequence-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from ykacer/bert-base-cased-imdb-sequence-classification: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/ykacer/bert-base-cased-imdb-sequence-classification/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://ykacer/bert-base-cased-imdb-sequence-classification/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/ykacer/bert-base-cased-imdb-sequence-classification/resolve/main/flax_model.msgpack
433 MB
- Xet hash:
- f916ea90617e6d5bf464945bfdabe6c04e574dfcdf39edaedb03df85d4d7c8ea
- Size of remote file:
- 433 MB
- SHA256:
- abbe88d08d9c9c291009b0e9dc8754b8de8668954932a75a73aec09e8c8d2854
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