Instructions to use cxllin/StableHermes-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cxllin/StableHermes-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="cxllin/StableHermes-3b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("cxllin/StableHermes-3b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80684b7d37b148f1ee231ff5601cd41aab76dfdbb85fe6ca7dcb993b5f8bf8fb
- Size of remote file:
- 5.59 GB
- SHA256:
- 878dfd5ac66d5d34dc4e4fba6942e46f5c5c45f1070d74603080ad05e9e84647
路
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