Instructions to use SlipStream33/phi3-binary-query-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SlipStream33/phi3-binary-query-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SlipStream33/phi3-binary-query-classifier", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SlipStream33/phi3-binary-query-classifier", trust_remote_code=True) model = AutoModel.from_pretrained("SlipStream33/phi3-binary-query-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|> | |
| ' + message['content'] + '<|end|> | |
| '}}{% elif message['role'] == 'user' %}{{'<|user|> | |
| ' + message['content'] + '<|end|> | |
| '}}{% elif message['role'] == 'assistant' %}{{'<|assistant|> | |
| ' + message['content'] + '<|end|> | |
| '}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|> | |
| ' }}{% else %}{{ eos_token }}{% endif %} |