Instructions to use ZiweiG/ziwei-bert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZiweiG/ziwei-bert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZiweiG/ziwei-bert-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZiweiG/ziwei-bert-imdb") model = AutoModelForSequenceClassification.from_pretrained("ZiweiG/ziwei-bert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from ZiweiG/ziwei-bert-imdb: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/ZiweiG/ziwei-bert-imdb/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://ZiweiG/ziwei-bert-imdb/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/ZiweiG/ziwei-bert-imdb/resolve/main/flax_model.msgpack
433 MB
- Xet hash:
- 2e23fbc215a1674ae30742dbaefd4d86fc07b092e9d745c0f6771201a4af3861
- Size of remote file:
- 433 MB
- SHA256:
- 82e0be5357b6c1c510d2bfecc8046b3d6d2991a777b801896e593430f489a4ff
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