Instructions to use benayas/roberta-finetuned-massive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benayas/roberta-finetuned-massive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="benayas/roberta-finetuned-massive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("benayas/roberta-finetuned-massive") model = AutoModelForSequenceClassification.from_pretrained("benayas/roberta-finetuned-massive") - 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:ce8ad4a7c18ad73537470b36315d2b7d5ef2088ab3cf7ea853f149a6993a1813
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size 498791232
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