Instructions to use darmendarizp/imdbreviews_classification_distilbert_sst2_transfer_learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darmendarizp/imdbreviews_classification_distilbert_sst2_transfer_learning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="darmendarizp/imdbreviews_classification_distilbert_sst2_transfer_learning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("darmendarizp/imdbreviews_classification_distilbert_sst2_transfer_learning") model = AutoModelForSequenceClassification.from_pretrained("darmendarizp/imdbreviews_classification_distilbert_sst2_transfer_learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a4c61a3fe07ab90e111c11ccb77c9ae256ccfebc851202419d5012a8381a0e3
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size 267832560
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