Fine-tuning a token classification model for legal data using Argilla and AutoTrain
•
14
bikash patra
bikashpatra
AI & ML interests
None yet
Recent Activity
upvoted
an
article
about 1 month ago
updated
a model
about 2 months ago
bikashpatra/bikashpatra
upvoted
a
collection
about 2 months ago
CRAFT: Corpus Retrieval and Augmentation for Fine-Tuning
Articles
Organizations
bikashpatra's activity
upvoted
an
article
about 1 month ago
Article
🧨 Diffusers welcomes Stable Diffusion 3.5 Large
•
43
updated
a
model
about 2 months ago
upvoted
a
collection
about 2 months ago
upvoted
2
articles
2 months ago
Article
Tool Use, Unified
•
64
Article
FineVideo: behind the scenes
•
23
liked
a
Space
2 months ago
upvoted
an
article
2 months ago
Article
Fine-tuning a token classification model for legal data using Argilla and AutoTrain
By
•
•
14
Reacted to
davidberenstein1957's
post with 🔥
3 months ago
Post
1501
Interested in learning about everything Image?
With the rise of recent interest in Vision Language Models (VLMs), we decided to make a push to include an ImageField within Argilla! This means any open source developer can now work on better models for vision ML tasks too and we would like to show you how.
We would love to introduce this new feature to you, so we've prepared a set of notebooks to go over some common image scenarios.
finetune an CLIP retrieval model with sentence transformers
use ColPali+ Qwen VL for RAG and log the results to Argilla
image-generation preference: creating multi-modal preference datasets for free using Hugging Face inference endpoints.
See you on Thursday!
https://lu.ma/x7id1jqu
With the rise of recent interest in Vision Language Models (VLMs), we decided to make a push to include an ImageField within Argilla! This means any open source developer can now work on better models for vision ML tasks too and we would like to show you how.
We would love to introduce this new feature to you, so we've prepared a set of notebooks to go over some common image scenarios.
finetune an CLIP retrieval model with sentence transformers
use ColPali+ Qwen VL for RAG and log the results to Argilla
image-generation preference: creating multi-modal preference datasets for free using Hugging Face inference endpoints.
See you on Thursday!
https://lu.ma/x7id1jqu
Notebooks as blogs
2
#8 opened 3 months ago
by
bikashpatra
bikashpatra
published
an
article
3 months ago
Article
Fine-tuning a token classification model for legal data using Argilla and AutoTrain
By
•
•
14
updated
3
models
3 months ago
updated
a
Space
4 months ago
upvoted
a
collection
4 months ago
updated
2
datasets
4 months ago
updated
a
Space
4 months ago
updated
2
datasets
4 months ago