Instructions to use RogerKam/subTopics-RoBERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RogerKam/subTopics-RoBERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RogerKam/subTopics-RoBERTa-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RogerKam/subTopics-RoBERTa-base") model = AutoModelForSequenceClassification.from_pretrained("RogerKam/subTopics-RoBERTa-base") - 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:fbe140ab46e8275d860bac67b191d07dd8f2dd03997413af82dbc72593438422
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size 498689724
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