An Analysis of Chinese LLM Censorship and Bias with Qwen 2 Instruct
•
48
lhl PRO
leonardlin
·
AI & ML interests
None yet
Recent Activity
liked
a dataset
2 days ago
litagin/moe-speech
liked
a dataset
7 days ago
openai/webgpt_comparisons
liked
a dataset
7 days ago
Dahoas/synthetic-instruct-gptj-pairwise
Articles
Organizations
leonardlin's activity
liked
a
dataset
2 days ago
liked
2
datasets
7 days ago
updated
a
model
28 days ago
liked
3
models
28 days ago
updated
a
model
29 days ago
updated
a
model
about 1 month ago
liked
2
models
about 1 month ago
liked
a
model
about 2 months ago
Reacted to
nroggendorff's
post with 👀
about 2 months ago
Post
2646
When huggingface patches this, I'm going to be really sad, but in the meantime, here you go:
When AutoTrain creates a new space to train your model, it does so via the huggingface API. If you modify the code so that it includes a premade README.md file, you can add these two lines:
This will tell huggingface to listen for the iframe on your port, instead of the one autotrain is actually hosting on, and because startup time isn't charged, you get the product for free. (you can take this even further by switching compute type to A100 or something)
When AutoTrain creates a new space to train your model, it does so via the huggingface API. If you modify the code so that it includes a premade README.md file, you can add these two lines:
---
app_port: 8080 # or any integer besides 7860 that's greater than 2 ** 10
startup_duration_timeout: 350m
---This will tell huggingface to listen for the iframe on your port, instead of the one autotrain is actually hosting on, and because startup time isn't charged, you get the product for free. (you can take this even further by switching compute type to A100 or something)
- 1 reply
updated
a
collection
3 months ago
upvoted
2
papers
3 months ago
updated
3
collections
3 months ago