Instructions to use HydraLM/e5-large-32-32000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HydraLM/e5-large-32-32000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HydraLM/e5-large-32-32000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HydraLM/e5-large-32-32000") model = AutoModelForSequenceClassification.from_pretrained("HydraLM/e5-large-32-32000") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot