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My current thinking is that in order to support testing from audio input, we need to look at the end-state of a conversation, not the intermediate state of NLU results.
The main challenge here is d…
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### System Info
- `transformers` version: 4.44.0
- Platform: Linux-5.15.0-116-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.24.5
- Safetensors version: 0.…
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A dual Function generator that has (at least) 5 modes:
Mode 1: AD Envelope (trigger)
Mode 2: AHR Envelope (or maybe ASR?) - (gate)
Mode 3: Cycle - a cycling AD envelope (in effect unipolar LFO)
…
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Use https://github.com/certik/fc8/tree/lf1. Then I get to 70%:
```console
$ FC=lfortran cmake -DFC8_GRAPHICS=sdl2 .
-- The Fortran compiler identification is unknown
-- The C compiler identificati…
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See https://twitter.com/StanHacked/status/1075088449768693762
```
Sub ASR_bypass_create_child_process_rule()
Const ShellBrowserWindow = _ "{C08AFD90-F2A1-11D1-8455-00A0C91F3880}"
Set S…
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Like the title implies, when using the batched commits and using the medium model the model output is nonsense (empty, repeats the inital prompt or says 'I'm sorry'). I'm using something along the fo…
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```
character(len = 1), parameter :: not_used_chArray(115) = 'A very long, long, long, long string, but as an array'
```
This gives:
```
semantic error: The LHS character len=1 and the RHS cha…
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Please see this example:
PROGRAM FortranSnippet0002
IMPLICIT NONE
integer :: i ! comment
END PROGRAM FortranSnippet0002
This leads to:
(...)
TOKEN: 282
Internal Compiler Erro…
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Here's a simple script to identify language from an audio:
import whisperx
import time
start_time = time.time()
filepath = ""
whisper_model = whisperx.load_model("medium", device = "cuda", …
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I am currently working on implementing a question-answer session with Temi. However, I want to eliminate the need for the user to say 'Hey Temi' before asking a question. I have two specific concerns:…