WebJun 17, 2024 · GPT-NeoX missing Tokenizer · Issue #17756 · huggingface/transformers · GitHub huggingface / transformers Public Notifications Fork 19.4k Star 91.9k Code Issues 527 Pull requests 144 Actions Projects 25 Security Insights New issue GPT-NeoX missing Tokenizer #17756 Closed 3 of 4 tasks mrseeker opened this issue on Jun 17, 2024 · 5 … WebMay 30, 2024 · from tensorflow.contrib.training import HParams ModuleNotFoundError: No module named 'tensorflow.contrib' The text was updated successfully, but these errors …
OSError: Can
WebJul 20, 2024 · 2. I am not sure if you are looking for prompt/settings. However, based on my experience (3-4 months) I would use a few-shot approach prompt such this one: … WebJul 18, 2024 · 1. It is because you have not imported gpt.py from the GitHub repository. You can find it here. Make sure you keep gpt.py in your current working folder. Do not forget to name your API key to openai.api_key as it is the variable in for API key in the gpt.py. Share. chinese new year 1910
GPT-translation/openAi.py at main · jiran214/GPT …
WebAug 11, 2024 · from gpt import GPT from gpt import Example openai.api_key = data["API_KEY"] with open('GPT_SECRET_KEY.json') as f: data = json.load(f) gpt = … WebMar 14, 2024 · GPT-4 Almost! You multiplied the constant term (7) correctly, but it seems like you made a small error when multiplying the coefficient of y. Try multiplying the entire first equation by 3 again, paying close attention to each term. User 9x + 6y = 21? GPT-4 That's correct! Now we have two equations: 1) 9x + 6y = 21 2) 9x - 4y = 1 WebMay 21, 2024 · import gpt_2_simple as gpt2 sess = gpt2. start_tf_sess () gpt2. load_gpt2 ( sess ) gpt2. generate ( sess) As with textgenrnn, you can generate and save text for later use (e.g. an API or a bot) by using the return_as_list parameter. single_text = gpt2. generate ( sess, return_as_list=True ) [ 0 ] print ( single_text) chinese new year 19