File size: 1,589 Bytes
3f31f2f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
language:
- en
tags:
- canadian-law
- immigration-law
- refugee-law
- legal-ai
- mistral-7b
license: apache-2.0
---
# Matlock - Canadian Immigration and Refugee Law Model
This model is specialized in Canadian immigration and refugee law, built on Mistral 7B.
## Model Description
Matlock (legal-mistral-immigration-v2) is designed for analyzing and explaining Canadian immigration and refugee law, with particular expertise in:
1. Refugee determination processes and legal standards
2. Interpretation of Canadian immigration legislation
3. Analysis of case law from specialized tribunals
4. Procedural and substantive legal requirements
## Training Data
The model incorporates data from:
- Refugee Appeal Division (RAD) decisions
- Refugee Protection Division (RPD) decisions
- Federal Court decisions
- Canadian immigration legislation and regulations
## Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Albiemark/matlock-canadian-law")
tokenizer = AutoTokenizer.from_pretrained("Albiemark/matlock-canadian-law")
# Example query
query = "What is the definition of a Convention refugee in Canadian law?"
inputs = tokenizer(query, return_tensors="pt")
outputs = model.generate(**inputs)
response = tokenizer.decode(outputs[0])
```
## Limitations
- Provides legal information, not legal advice
- Should not substitute for professional legal counsel
- Knowledge cutoff based on training data
- Each case requires individual assessment
## License
This model is released under the Apache 2.0 license.
|