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tasal9
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Model Details
Model Provider
tasal9
Model Tree
mistralai/Mistral-7B-Instruct-v0.1
Input Modalities
Output Modalities
Supported Functionality
This model is part of the ZamAI Pashto language AI collection. It is fine-tuned/adapted for text-generation / instruction-following in Pashto and related languages.
python
from transformers import AutoModelForCausalLM, AutoTokenizer model_id = "tasal9/ZamAI-Mistral-7B-Pashto"model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) prompt = "سلام دې وي! تاسو څنګه یاست؟"inputs = tokenizer(prompt, return_tensors="pt")outputs = model.generate(**inputs, max_new_tokens=128, do_sample=True, temperature=0.7)print(tokenizer.decode(outputs[0], skip_special_tokens=True))Training dataset details will be added here.
| Metric | Value | Description |
|---|---|---|
| perplexity | TBD | Add measured value |
| bleu | TBD | Add measured value |
| rouge | TBD | Add measured value |
Update this table with your measured results and link to the evaluation script/notebook.
bibtex
@misc{zamai_pashto, title = {{ZamAI Mistral 7B Pashto}}, author = {ZamAI / Yaqoob Tasal}, year = {2024}, howpublished = {\url{https://huggingface.co/tasal9/ZamAI-Mistral-7B-Pashto}}}This model is released under the mit license.
from transformers import AutoModelForCausalLM, AutoTokenizer model_id = "tasal9/ZamAI-Mistral-7B-Pashto"model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) prompt = "سلام دې وي! تاسو څنګه یاست؟"inputs = tokenizer(prompt, return_tensors="pt")outputs = model.generate(**inputs, max_new_tokens=128, do_sample=True, temperature=0.7)print(tokenizer.decode(outputs[0], skip_special_tokens=True))