Instructions to use JW17/Q3-4b-base-btrm-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JW17/Q3-4b-base-btrm-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JW17/Q3-4b-base-btrm-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JW17/Q3-4b-base-btrm-v0.1") model = AutoModelForSequenceClassification.from_pretrained("JW17/Q3-4b-base-btrm-v0.1") - Notebooks
- Google Colab
- Kaggle
File size: 410 Bytes
8872216 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {% for message in messages %}
{% if message['role'] == 'user' %}
{{ '<|user|>
' + message['content'] + eos_token }}
{% elif message['role'] == 'system' %}
{{ '<|system|>
' + message['content'] + eos_token }}
{% elif message['role'] == 'assistant' %}
{{ '<|assistant|>
' + message['content'] + eos_token }}
{% endif %}
{% if loop.last and add_generation_prompt %}
{{ '<|assistant|>' }}
{% endif %}
{% endfor %} |