Instructions to use Mathnub/imdb-score-predict-roberta-large-fulldata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathnub/imdb-score-predict-roberta-large-fulldata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mathnub/imdb-score-predict-roberta-large-fulldata")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mathnub/imdb-score-predict-roberta-large-fulldata") model = AutoModelForSequenceClassification.from_pretrained("Mathnub/imdb-score-predict-roberta-large-fulldata") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:944d823126f707abb33d1c2d73691873cdfee83d2c8d1e38ca071148bac64479
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size 1421491316
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