Instructions to use yadagiriannepaka/Roberta_MODELHC3File.pth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yadagiriannepaka/Roberta_MODELHC3File.pth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yadagiriannepaka/Roberta_MODELHC3File.pth")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yadagiriannepaka/Roberta_MODELHC3File.pth") model = AutoModelForSequenceClassification.from_pretrained("yadagiriannepaka/Roberta_MODELHC3File.pth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2c7ccb16a999d2e9cde0e309c1d72c5d0e57437fff98cccdcda558fc34b5f05
- Size of remote file:
- 499 MB
- SHA256:
- 996464fe4e2414464c3a9efce1fb1ddbbfa2e15870bab99d0d994de188aadf63
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