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:
- 98edf1cb3178a5f2cafc664e2fa3a44a2b8be2e99810a81d9b24923b241a19e1
- Size of remote file:
- 499 MB
- SHA256:
- 852864258178da6b6061de0b82de37c0ccf17600186fd9bfc6563fc03559834c
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