needle-in-a-jungle project!
Browse files
README.md
CHANGED
|
@@ -16,7 +16,18 @@ language:
|
|
| 16 |
From the [original model card](https://huggingface.co/gorilla-llm/gorilla-openfunctions-v0):
|
| 17 |
> Gorilla OpenFunctions extends Large Language Model(LLM) Chat Completion feature to formulate executable APIs call given natural language instructions and API context.
|
| 18 |
|
| 19 |
-
##
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
This version of the model is meant primarily to run smoothly on **Colab**.
|
| 21 |
I suggest loading the model with **8-bit quantization**, so that you have some free GPU to perform inference.
|
| 22 |
|
|
|
|
| 16 |
From the [original model card](https://huggingface.co/gorilla-llm/gorilla-openfunctions-v0):
|
| 17 |
> Gorilla OpenFunctions extends Large Language Model(LLM) Chat Completion feature to formulate executable APIs call given natural language instructions and API context.
|
| 18 |
|
| 19 |
+
## 📣 NEW: try this model for Information Extraction
|
| 20 |
+
|
| 21 |
+
🧪🦍 Needle in a Jungle - Information Extraction via LLMs
|
| 22 |
+
|
| 23 |
+
I did an experiment: a notebook that extracts information from a given URL (or text) based on a user-provided structure.
|
| 24 |
+
|
| 25 |
+
Stack: [🏗️ Haystack LLM framework](https://haystack.deepset.ai/) + Gorilla OpenFunctions
|
| 26 |
+
|
| 27 |
+
- 📝 [Post full of details](https://t.ly/8QBWs)
|
| 28 |
+
- 📓 [Notebook](https://github.com/anakin87/notebooks/blob/main/information_extraction_via_llms.ipynb)
|
| 29 |
+
|
| 30 |
+
## General Usage
|
| 31 |
This version of the model is meant primarily to run smoothly on **Colab**.
|
| 32 |
I suggest loading the model with **8-bit quantization**, so that you have some free GPU to perform inference.
|
| 33 |
|