[BUG] TypeError: linear(): argument 'input' (position 1) must be Tensor, not NoneType when running get started code
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- Dominant language
- Python
- Stars
- 270
- Forks
- 32
- PR merge metrics
- No merged PRs in 30d
Description
Describe the bug
When I run the start up code in README.md, in step 4 "Train the model" I can't properly run the code. Google colab reported "TypeError: linear(): argument 'input' (position 1) must be Tensor, not NoneType" when running logits = model(input_ids, attention_mask)
Minimal steps to reproduce
Just follow the README.md and find the bug TT.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with README.md step 4, reproduce the training snippet in Google Colab, and inspect how input_ids, attention_mask, and model are initialized before logits = model(input_ids, attention_mask). Done means the documented startup code runs without the reported NoneType TypeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100