Open WebUI (Formerly Ollama WebUI)
$ docker logs open-webui
...
ERROR:apps.ollama.main:Connection error: Cannot connect to host host.docker.internal:11434 ssl:default [Connection refused]
Open WebUI (Formerly Ollama WebUI)
$ docker logs open-webui
...
ERROR:apps.ollama.main:Connection error: Cannot connect to host host.docker.internal:11434 ssl:default [Connection refused]
#!/usr/bin/env python3 | |
import argparse | |
import datetime | |
import json | |
import re | |
import threading | |
from http.server import BaseHTTPRequestHandler, HTTPServer | |
from pathlib import Path | |
import serial |
#!/usr/bin/env python3 | |
import time | |
from datasets import load_dataset | |
while True: | |
try: | |
ds = load_dataset("reazon-research/reazonspeech", "all") | |
except Exception as e: |
#!/usr/bin/env python3 | |
from transformers import AutoTokenizer | |
def main() -> None: | |
txt: str = "鯯を食べたい" | |
m1 = "rinna/japanese-gpt-neox-3.6b-instruction-ppo" |
I received the following warnings related to libnvinfer.so.7
and libnvinfer_plugin.so.7
W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: xxxxx
W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: xxxxx
W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
javascript:document.querySelector('button[aria-label="More options"]').click();new MutationObserver((m,o) => { const p = Array.from(document.querySelectorAll("span")).find( (el) => el.textContent === "Open picture-in-picture mode" ); if (p) { p.click(); o.disconnect(); }}).observe(document.getElementsByTagName("body")[0], { childList: true, subtree: true,}); |
error: `NIN` should be `INN`, `MIN`, `BIN`, `NINE` | |
--> ./scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py:49:76 | |
| | |
49 | new_layer.query.weight.data = old_checkpoint[f"all_modules.{index}.NIN_0.W"].data.T | |
| ^^^ | |
| | |
error: `NIN` should be `INN`, `MIN`, `BIN`, `NINE` | |
--> ./scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py:50:74 | |
| | |
50 | new_layer.key.weight.data = old_checkpoint[f"all_modules.{index}.NIN_1.W"].data.T |
#!/usr/bin/env python3 | |
from pathlib import Path | |
import torch | |
from diffusers import StableDiffusionPipeline | |
from torch.amp.autocast_mode import autocast | |
def get_max_index(p: Path): | |
mx = 0 |
import csv | |
import fileinput | |
import sys | |
w = csv.writer(sys.stdout) | |
for cols in csv.reader(fileinput.input()): | |
w.writerow( | |
[cols[i] for i in [0, 1, 2, 3, 0, 4, 5, 6, 7, 8, 9, 11, 10]] | |
+ ["*", "*", "*", "*", "*"] |