Instructions to use HasinMDG/multilingual-ned-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HasinMDG/multilingual-ned-e5-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HasinMDG/multilingual-ned-e5-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HasinMDG/multilingual-ned-e5-large") model = AutoModel.from_pretrained("HasinMDG/multilingual-ned-e5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 199 Bytes
e3a928d | 1 2 3 4 5 6 7 8 9 10 | {
"__version__": {
"sentence_transformers": "3.0.1",
"transformers": "4.42.4",
"pytorch": "2.0.0+cpu"
},
"prompts": {},
"default_prompt_name": null,
"similarity_fn_name": null
} |