Instructions to use BayesTensor/debertas_seeker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BayesTensor/debertas_seeker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BayesTensor/debertas_seeker")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BayesTensor/debertas_seeker") model = AutoModelForSequenceClassification.from_pretrained("BayesTensor/debertas_seeker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
92ecc93 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1a4cef7ab6f4ff209dd756db3bbb721abd11ddfea5e6d59d89d58906d87bc93f
size 5432
|