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:
- 647b68ab0418e5b7a347152a3d2cd1148f835cc600899a363af8f2905ee59f02
- Size of remote file:
- 433 MB
- SHA256:
- 4eb26c35f9de850e55bb209aed80d234175e10c4472c9675c855c2b9430392b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.