Instructions to use godmode-ai/phi-1_5-msmarco-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use godmode-ai/phi-1_5-msmarco-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="godmode-ai/phi-1_5-msmarco-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("godmode-ai/phi-1_5-msmarco-v1") model = AutoModelForSequenceClassification.from_pretrained("godmode-ai/phi-1_5-msmarco-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb1cc0bb30808bb33c6e7e96d10ea7db835448b394f914ee5cefdfd2bb11949c
- Size of remote file:
- 2.63 GB
- SHA256:
- 20aedb85d01aa027e20556b33f1a9cad42b00e2ef0a2ea6728c2e00df833652d
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