Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use limphanith/imdb_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use limphanith/imdb_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="limphanith/imdb_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("limphanith/imdb_bert") model = AutoModelForSequenceClassification.from_pretrained("limphanith/imdb_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ff59de9e941b860c8ab104ab7c954137207bbbcef2a7ed794f59237d65fe3ea
- Size of remote file:
- 438 MB
- SHA256:
- 25e82e347e8644baa9088dd86f888bf1a88228cb2f98d05441b4093bf94b8977
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