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ARCHIVED MODEL, DO NOT USE IT
stable-baselines3-ppo-LunarLander-v2 🚀👩🚀
Use the Model
Install the dependencies
Evaluate the agent
Results
model-index:
name: stable-baselines3-ppo-LunarLander-v2
ARCHIVED MODEL, DO NOT USE IT
stable-baselines3-ppo-LunarLander-v2 🚀👩🚀
This is a saved model of a PPO agent playing LunarLander-v2. The model is taken from rl-baselines3-zoo
The goal…
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Guude!
Guude!
Guckst Du hier für mehr Infos: https://www.Thorsten-Voice.de/guude
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distilbert-base-uncased-finetuned-mnli-amazon-query-shopping
This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on an Amazon US Customer Reviews Dataset. The code for the fine-tuning process can be found
here. This model is uncased: it does
not make a difference between english and English.
It achieves the following results on the evaluation set:
Loss: 0.5202942490577698
Accuracy: 0.8
Model description
…
GGUF Quantized LLaVA 1.6 34B
Updated quants and projector from PR #5267
Provided files
Name
Quant method
Bits
Size
Use case
llava-v1.6-34b.Q3_K_XS.gguf
Q3_K_XS
3
14.2 GB
very small, high quality loss
llava-v1.6-34b.Q3_K_M.gguf
Q3_K_M
3
16.7 GB
very small, high quality loss
llava-v1.6-34b.Q4_K_M.gguf
Q4_K_M
4
20.66 GB
medium, balanced quality - recommended
llava-v1.6-34b.Q5_K_S.gguf
Q5_K_S
5
23.7 GB
large, low quality loss - recommended
llava-v1.6-34b.Q5_K_M.gguf
Q5_K_M
5
24.3 GB
large, very low quality loss - recommended
llava-v1.6-34b.Q6_K.gguf
Q6_K
5
28.2 GB
very large, extremely low quality loss
llava-v1.6-34b.Q8_0.gguf
Q8_0
5
36.5 GB
very…
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See…
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Image creation tools powered by artificial intelligence from companies including OpenAI and Microsoft can be used to produce photos that could promote election or voting-related disinformation, despite each having policies against creating misleading content, researchers said in a report on Wednesday.The Center for Countering Digital Hate (CCDH), a nonprofit that monitors online hate speech, used…