Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use baekTree/roberta-large-batch2-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baekTree/roberta-large-batch2-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baekTree/roberta-large-batch2-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baekTree/roberta-large-batch2-imdb") model = AutoModelForSequenceClassification.from_pretrained("baekTree/roberta-large-batch2-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 136d4b6e20809da3fa996844c591ff8a29b0a8e658f4736221ca7cdb5f62434e
- Size of remote file:
- 5.3 kB
- SHA256:
- e053164d1cae3488e88dcce1c0651b52ee8b9220db6b31f1a62bc4784e970a5f
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