Sentence Similarity
Transformers
Safetensors
bert
feature-extraction
cybersecurity
cti
yara
contrastive-learning
bi-encoder
text-embeddings-inference
Instructions to use shaswatamitra/falcon-yara-bi-e5-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shaswatamitra/falcon-yara-bi-e5-base-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("shaswatamitra/falcon-yara-bi-e5-base-v2") model = AutoModel.from_pretrained("shaswatamitra/falcon-yara-bi-e5-base-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 496 Bytes
3e31f97 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"config": {
"run": 1,
"batch": 50,
"epochs": 10,
"lr": 2e-05,
"schedule": "constant",
"temperature": 0.05
},
"train_loss": [
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],
"val_loss": [
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],
"best_epoch": 1,
"best_val_loss": 0.010218649069696873
} |