Transformers
ONNX
Safetensors
Transformers.js
t5
text2text-generation
flan-t5
fine-tuned
resume
text-generation-inference
Instructions to use sudeep1610/resume-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudeep1610/resume-llm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sudeep1610/resume-llm") model = AutoModelForSeq2SeqLM.from_pretrained("sudeep1610/resume-llm", device_map="auto") - Transformers.js
How to use sudeep1610/resume-llm with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
FLAN-T5 fine-tuned on Sudeep's resume
My own model: Google's flan-t5-base fine-tuned on question–answer pairs from my resume.
💬 Try it live: https://huggingface.co/spaces/sudeep1610/ResumeBot
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tok = AutoTokenizer.from_pretrained("sudeep1610/resume-llm")
model = AutoModelForSeq2SeqLM.from_pretrained("sudeep1610/resume-llm")
inputs = tok("What are Sudeep's technical skills?", return_tensors="pt")
print(tok.decode(model.generate(**inputs, max_new_tokens=128, num_beams=4)[0], skip_special_tokens=True))
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google/flan-t5-base