Feature Extraction
sentence-transformers
Safetensors
Transformers
xlm-roberta
sentence-similarity
mteb
text-embeddings-inference
Instructions to use McGill-NLP/AfriE5-Large-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use McGill-NLP/AfriE5-Large-instruct with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("McGill-NLP/AfriE5-Large-instruct") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use McGill-NLP/AfriE5-Large-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="McGill-NLP/AfriE5-Large-instruct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("McGill-NLP/AfriE5-Large-instruct") model = AutoModel.from_pretrained("McGill-NLP/AfriE5-Large-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from McGill-NLP/AfriE5-Large-instruct: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/McGill-NLP/AfriE5-Large-instruct/resolve/main/training_args.bin
- Command line
-
hf download hf://McGill-NLP/AfriE5-Large-instruct/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/McGill-NLP/AfriE5-Large-instruct/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- 1feb5e8368efee3d176291a24cda28a5edbe7e6084a08e3d4e66b9925f317c65
- Size of remote file:
- 6.03 kB
- SHA256:
- 380b7a4716a7ffd6db6f9068b3358cb00d0a881e6cf14c9b3753a815ddd4c186
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