Instructions to use vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k") model = AutoModelForSequenceClassification.from_pretrained("vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
9bdbf4c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7eabe1045290bb03411ddfd73fb87a43f997a64c3bffcefd9939824eebe6b7c1
size 960528535
|