bytedance-research/Lance
Any-to-Any • Updated • 3.37k • 1.02k
Kother Badushah
kotherbadushah
AI & ML interests
None yet
Recent Activity
liked a model 17 days ago
bytedance-research/Lance liked a model 19 days ago
Supertone/supertonic-3 liked a model 21 days ago
lightonai/LightOnOCR-2-1BOrganizations
liked a
model 17 days ago
liked a
model 19 days ago
liked 3
models 21 days ago
liked a
model 24 days ago
liked a
model 28 days ago
liked a
Space 4 months ago
liked a
Space 6 months ago
liked a
model 7 months ago
liked a
model 9 months ago
liked a
Space about 1 year ago
liked a
model about 1 year ago
reacted to MrDragonFox's post with 👍 about 1 year ago
Post
2170
did a small emotive classified test dataset for all the tts tuners out there
MrDragonFox/Elise
3h total mit - single speaker voice
dataset is a copy of an existing one just added the emotional tags over 1200 samples - should be good enough to test if emotional tags stick in your finetune
MrDragonFox/Elise
3h total mit - single speaker voice
dataset is a copy of an existing one just added the emotional tags over 1200 samples - should be good enough to test if emotional tags stick in your finetune
- 1 reply
reacted to burtenshaw's post with 👍 about 1 year ago
Post
3951
The Hugging Face Agents Course now includes three major agent frameworks!
🔗
agents-course
This includes LlamaIndex, LangChain, and our very own smolagents. We've worked to integrate the three frameworks in distinctive ways so that learners can reflect on when and where to use each.
This also means that you can follow the course if you're already familiar with one of these frameworks, and soak up some of the fundamental knowledge in earlier units.
Hopefully, this makes the agents course as open to as many people as possible.
🔗
This includes LlamaIndex, LangChain, and our very own smolagents. We've worked to integrate the three frameworks in distinctive ways so that learners can reflect on when and where to use each.
This also means that you can follow the course if you're already familiar with one of these frameworks, and soak up some of the fundamental knowledge in earlier units.
Hopefully, this makes the agents course as open to as many people as possible.
- 3 replies
liked a
Space about 1 year ago
liked 2
Spaces over 1 year ago
liked 2
datasets over 1 year ago