Instructions to use Mithil/86RecallRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mithil/86RecallRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mithil/86RecallRoberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mithil/86RecallRoberta") model = AutoModelForSequenceClassification.from_pretrained("Mithil/86RecallRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20a8f4a404c99487fecea3657d8e48816dc7d7bbb99ba27dbc1eb1041b48ee25
- Size of remote file:
- 3.31 kB
- SHA256:
- 3aad7c8739d6f37d05d03b66b709ceb9759745be1bd4c859fc4cb3a4f0df2661
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