Instructions to use VinsmokeMir/FineTuning_Method_2_SC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VinsmokeMir/FineTuning_Method_2_SC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VinsmokeMir/FineTuning_Method_2_SC")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VinsmokeMir/FineTuning_Method_2_SC") model = AutoModelForSequenceClassification.from_pretrained("VinsmokeMir/FineTuning_Method_2_SC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from VinsmokeMir/FineTuning_Method_2_SC: direct link, hf CLI and curl.
- Browser
- Download file 83.3 MB
-
https://huggingface.co/VinsmokeMir/FineTuning_Method_2_SC/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://VinsmokeMir/FineTuning_Method_2_SC/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/VinsmokeMir/FineTuning_Method_2_SC/resolve/main/pytorch_model.bin
83.3 MB
- Xet hash:
- dfd6ebd0a8f86e0bfa5bbb09f754c071dcec7c2ba28e15a028254397aae6b704
- Size of remote file:
- 83.3 MB
- SHA256:
- e2b1d75c166f4cdb9c6f6fa7f73ae58cdf6e8dbbeb94ea9affe0cf913071fefd
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