How to use PantagrueLLM/text-base-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PantagrueLLM/text-base-wiki", trust_remote_code=True, device_map="auto")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PantagrueLLM/text-base-wiki", trust_remote_code=True, dtype="auto", device_map="auto")
How to use PantagrueLLM/text-base-wiki with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "PantagrueLLM/text-base-wiki" )
