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:
- 5939c8cc0868e34e4aebca1ce644e438ec8bc3261a66103c56d5a01fed09d339
- Size of remote file:
- 433 MB
- SHA256:
- 831efb3a37f5c2a94d36e675c4c8bde3413c5060bab61dee87bc01c818569188
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