Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
imdb
adversarial-nlp
textattack
text-embeddings-inference
Instructions to use jongador/bert-imdb-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jongador/bert-imdb-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jongador/bert-imdb-512")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jongador/bert-imdb-512") model = AutoModelForSequenceClassification.from_pretrained("jongador/bert-imdb-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 276132a025cff75ba3e68149e751dd1d3df251f6f42caf985b205de2a34df163
- Size of remote file:
- 438 MB
- SHA256:
- 9ec5131e5be6a27235efd538d0f9b96c46d5621ea7c1397add0ea06b784cd020
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