Instructions to use kite/recommendation_bert_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kite/recommendation_bert_vae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kite/recommendation_bert_vae")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kite/recommendation_bert_vae") model = AutoModelForSequenceClassification.from_pretrained("kite/recommendation_bert_vae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("kite/recommendation_bert_vae")
model = AutoModelForSequenceClassification.from_pretrained("kite/recommendation_bert_vae", device_map="auto")Quick Links
README.md exists but content is empty.
- Downloads last month
- 6
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kite/recommendation_bert_vae")