Instructions to use spneshaei/distilbert_imdb_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spneshaei/distilbert_imdb_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spneshaei/distilbert_imdb_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spneshaei/distilbert_imdb_test") model = AutoModelForSequenceClassification.from_pretrained("spneshaei/distilbert_imdb_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from spneshaei/distilbert_imdb_test: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/spneshaei/distilbert_imdb_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://spneshaei/distilbert_imdb_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/spneshaei/distilbert_imdb_test/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 0ef152c3aee6dea1e9e77328ddb77940a240362db0484c2a68b94c53c2a6a1d7
- Size of remote file:
- 268 MB
- SHA256:
- 89205a6e3cd7995c8000c5780cea73774a909ad11d454be8cf272060ec9145ff
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