Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use pachequinho/sentiment_bert_imdb_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pachequinho/sentiment_bert_imdb_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pachequinho/sentiment_bert_imdb_10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pachequinho/sentiment_bert_imdb_10") model = AutoModelForSequenceClassification.from_pretrained("pachequinho/sentiment_bert_imdb_10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7a7b2df65b7e85699ea0aba04e9666a0b9ce05d94521c94c5ec12915badc1f3
- Size of remote file:
- 4.09 kB
- SHA256:
- e2b72ddc0a1cdf12d4227b1223d2d178f9c66c14b00fa2150952a934448ee8d1
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