Sentence Similarity
sentence-transformers
PyTorch
TensorBoard
Safetensors
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use srsawant34/ProTopic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use srsawant34/ProTopic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("srsawant34/ProTopic") 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 srsawant34/ProTopic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("srsawant34/ProTopic") model = AutoModel.from_pretrained("srsawant34/ProTopic") - Notebooks
- Google Colab
- Kaggle
Commit ·
d15fa7a
1
Parent(s): fbe167b
Push model using huggingface_hub.
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 90898086
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:77c443b12403ef20b443a28ab555a1f702b73c04d5b86894ac5fd59f049eed61
|
| 3 |
size 90898086
|