Instructions to use pachequinho/sentiment_bert_imdb_prompts_nodup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pachequinho/sentiment_bert_imdb_prompts_nodup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pachequinho/sentiment_bert_imdb_prompts_nodup")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pachequinho/sentiment_bert_imdb_prompts_nodup") model = AutoModelForSequenceClassification.from_pretrained("pachequinho/sentiment_bert_imdb_prompts_nodup") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3138f98467fc9296e2923ef725292cbfef4f078a3d0c58e21e939e2076901c45
- Size of remote file:
- 4.09 kB
- SHA256:
- 006fd4dafb23712c44cb836750cea7081e2d08c0523acd1be0f875ebeb039e7f
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