Instructions to use junjun111524/gamefirst_0508 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junjun111524/gamefirst_0508 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junjun111524/gamefirst_0508")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("junjun111524/gamefirst_0508") model = AutoModel.from_pretrained("junjun111524/gamefirst_0508") - Notebooks
- Google Colab
- Kaggle
File size: 658 Bytes
56e51bd | 1 2 3 4 5 6 7 8 9 10 11 12 | global_step,train_loss,eval_spearman,eval_pearson
168,4.42560338973999,0.8280660598678765,0.8193452091263668
336,3.3122735023498535,0.8174579848932694,0.8114318401195143
504,3.190680503845215,0.8328903624646241,0.8266284251641203
672,2.40781831741333,0.8331021122151344,0.8272735850749002
840,2.0742573738098145,0.8345969044664151,0.8304554911160961
1008,1.9106372594833374,0.8334601673436347,0.8278741728550059
1176,1.474703073501587,0.8345961203285506,0.8310213875968886
1344,1.3404971361160278,0.8343128271791778,0.8313033939377835
1512,1.079366683959961,0.8348118322107717,0.8323351192585464
1680,0.9464324116706848,0.8340774314316364,0.8319396531346465
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