Instructions to use Emily/fyp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emily/fyp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emily/fyp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emily/fyp") model = AutoModelForSequenceClassification.from_pretrained("Emily/fyp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Emily/fyp: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/Emily/fyp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Emily/fyp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Emily/fyp/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- d0519acd069f6c8f24df7f8917c987838d0612b0ad6ff1b8a6eca2860e020c3a
- Size of remote file:
- 433 MB
- SHA256:
- dce0689d9ccd683a56a66f8f16ba97429eede7dcf178b6d5a1e35acaa6808568
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