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:
- 63add6e7c62ea19cbbec0c7e7e4cd239d54129c0b3e73ba79c7c350b7c3dc74d
- Size of remote file:
- 5.37 kB
- SHA256:
- 63e6fd3a34d42236e0e375f891f71186750ba27ff8ae81a07066fc98934b88f0
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