Sentence Similarity
sentence-transformers
PyTorch
Transformers
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use Pyjay/sentence-transformers-multilingual-snli-v2-500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Pyjay/sentence-transformers-multilingual-snli-v2-500k with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Pyjay/sentence-transformers-multilingual-snli-v2-500k") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use Pyjay/sentence-transformers-multilingual-snli-v2-500k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Pyjay/sentence-transformers-multilingual-snli-v2-500k") model = AutoModel.from_pretrained("Pyjay/sentence-transformers-multilingual-snli-v2-500k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -17,3 +17,4 @@
|
|
| 17 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 18 |
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
| 19 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 17 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 18 |
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
| 19 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cd0a3de99381e835021d747125feb62f6083f5999282344b9ecc332d68004d8
|
| 3 |
+
size 1112201288
|